AI Hyperautomation Integrations Security Automation 101

How to Turn SOAR Migration Into Full SOC Transformation with Torq

By Torq

March 24, 2025

7 Minute Read

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SOAR is dead-dead (too inflexible, too complex, and too limited on integrations) — but it’s not quite buried in some SOCs where it’s only hanging on because migrating can feel daunting when mission-critical workflows are tied to the system.

AI-driven Hyperautomation from Torq is the SOAR killer, and our team has helped major enterprises from every industry make the switch, quickly and easily.

We chatted with Mark Carosella, Sr. Sales Engineer at Torq, to hear firsthand what surprises new Torq customers the most when they pull the plug on their SOAR and learn what it is about Torq that makes migrating from legacy SOAR not just fast, but also transformative.

Why Legacy SOAR Platforms Fall Short and How to Transform Your SOC

For years, SOAR promised efficiency but delivered bottlenecks. Most legacy SOAR platforms struggle with:

Rigid playbooks that break as soon as attack patterns shift.
Slow adoption due to complex coding requirements.
Integration limits that leave critical parts of the stack disconnected.
High maintenance costs that drain already-stretched SOC analysts.

This leaves security operations centers overwhelmed by alert volume, unable to evolve with modern threats, and locked into inefficient tools.

SOC transformation requires moving beyond SOAR. With Torq, migration isn’t about replicating brittle playbooks — it’s about redesigning how your SOC operates, using Hyperautomation, AI agents, and dynamic case management to create lasting efficiency and resilience.

Stop Lifting and Shifting: Redesign Workflows with Hyperautomation

One of the first — and most striking — realizations for companies logging into the Torq platform for the first time is just how easy it is to build workflow automations. For those who previously used code-heavy automation tools and had to manage thousands of lines of Python, Torq’s intuitive, drag-and-drop workflow designer and AI workflow builder is transformative. It enables security teams to build and deploy Hyperautomated workflows faster than ever before. Users can also test each workflow step in real time, gaining instant feedback and making adjustments on the fly.

With Torq, even customizing integrations with APIs or configuring various data sources becomes accessible to those without advanced dev skills, by using AI agents with expert coding logic and syntax for script writing, CLI, and data manipulation.

When migrating existing workflows to Torq, the platform’s ease of use and robust scalability allow for things that simply weren’t possible with legacy SOAR. To escape tech debt and inefficient and outdated processes, Torq encourages new customers to think beyond a “lift and shift” mentality so they can optimize processes rather than replicating them exactly as they were.

The Torq team has seen it all and has vast expertise and experience to recommend best practices for optimizing security processes. Torq Hyperautomation makes it much simpler to combine traditional workbooks into seamless workflows that take advantage of the platform’s strengths, such as AI-driven remediation and dynamic case management.

Most Torq customers can consolidate processes during the migration — achieving the same outcomes with significantly fewer and much more efficient automations.

Unblock Your Stack: Eliminate Integration Limits with Torq

In almost every proof of concept (POC), new users consistently highlight the same recurring challenges with their legacy SOAR platforms: limited integrations and difficulty connecting to essential data within existing tech stacks. This often forced their teams to resort to extensive, time-consuming Python coding, a painful and difficult-to-scale process.

Torq enables rapid, limitless integrations. Companies can connect their entire security stack in record time by using AI to generate integrations in seconds, or they can maintain granular control with draggable, low-code, or full-code capabilities. Even if your third-party API or data format changes (a recipe for disaster in legacy SOAR platforms), real-time API monitoring ensures none of your integrations are at risk of breaking, so your stack always stays connected for uninterrupted automation.

In one example Mark shared, a customer needing specific SIEM technology functions — which were previously inaccessible through their SOAR platform — achieved their goal in minutes by simply copying an API command into Torq’s intuitive Workflow Builder canvas, eliminating the need to wait months for a team to develop custom code to create the connection.

Go From Concept to Workflow, Fast

“Whenever we talk to customers or the folks that are POCing Torq and getting into the platform for the first time, there’s one word that comes up in every single engagement: intuitive.”

– Mark Carosella, Sales Engineering Manager, Torq

Building security automation workflows in Torq’s drag-and-drop and AI-assisted interface is highly intuitive, so teams quickly grasp the fundamentals to get up and running during onboarding. Mark shared that new users often independently build custom automation workflows within a day or two. This can feel like a major “aha” moment for users who came in with the perception of automation as a complex, code-heavy experience in legacy SOAR platforms.

One Torq user shared, “My favorite thing about Torq is that concepts go from my head to a working reality in just a few hours, instead of a few weeks, largely due to the no-code functionality.”

This ease of use empowers any user, regardless of their coding skills, to rapidly implement workflows and adapt their security operations, accelerating time to value.

Inside the SOC Transformation Experience: What Surprises Torq Customers Most

When organizations migrate to Torq, we always hear these things:

How fast adoption happens. Teams expect a steep learning curve but find themselves self-sufficient within days.
How flexible the system is. Workflows aren’t locked into rigid playbooks; they adapt as threats evolve.
How much easier integrations become. Instead of brittle connectors, everything connects in real time — security, IT, SaaS, and beyond.
How much efficiency scales. Customers consolidate dozens of workflows into streamlined, AI-powered automations that handle 95%+ of Tier-1 tasks.
How analysts feel the impact. Less alert fatigue, fewer overnight pings, and more time for high-value work like threat hunting and investigation.

Real-World Impact: Torq Use Cases

Migration stories are nice. Measurable outcomes are better. Here’s what SOC transformation actually looks like when legacy SOAR gets replaced by Hyperautomation.

Alert Overload

The problem: SOCs are buried under thousands of daily alerts — most of them noise. Analysts spend 75% of their time on manual triage instead of actual threat hunting, and at least 30% of alerts never get investigated at all.

The solution: Torq’s AI Agents automatically triage incoming alerts, enrich them with contextual data, and filter false positives before they ever reach an analyst. No static playbooks. No manual correlation. No burnout.

The result: Organizations using Torq reduce false positives by 70%+ and enable analysts to focus on critical threats — reclaiming hours of capacity daily.

Playbook Maintenance Drain

The problem: Legacy SOAR playbooks break constantly — every API change, every new tool, every evolving threat pattern requires manual updates. Security teams spend more time maintaining automation than benefiting from it.

The solution: Torq Hyperautomation replaces brittle playbooks with dynamic, AI-driven workflows that adapt in real time. The AI Workflow Builder lets teams create automations using natural language, and real-time API monitoring ensures integrations stay connected even when vendors ship changes.

The result: Teams that previously managed 50+ fragile playbooks consolidate to fewer, smarter workflows — deploying automations 10x faster than legacy SOAR and eliminating the maintenance tax entirely.

Slow Incident Response

The problem: When incidents hit, legacy SOAR can’t keep up. Static playbooks don’t adapt to novel attack patterns, and manual handoffs between tools add hours to response times — giving attackers more dwell time.

The solution: Torq HyperSOC™ unifies detection, investigation, and response into a single platform powered by agentic AI. Socrates, the AI SOC Analyst, autonomously triages, investigates, and remediates threats at machine speed — escalating only what truly requires human judgment.

The result: Organizations reduce investigation time by up to 90% and handle 3-5x more alerts without adding headcount. MTTR drops from hours to minutes.

Transform Your SOC: Get the SOAR Migration Guide

If you’re ready to finally pull the plug on your SOAR, get the Kill Your SOAR Migration Guide to plan ahead. It covers the big picture of what you need to know going into a migration, plus a migration success story from a leading security company, advice from a SOC manager who made the switch, and the top 3 POC use cases.

With Torq, your migration isn’t just about switching platforms — it’s an opportunity to transform your security operations.

Get the Guide

Ready for SOC transformation? Get the Kill Your SOAR migration guide.

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

Get a Demo

Research

SANS Survey: 5 Security Challenges Keeping SOCs in the Dark

By Torq

March 20, 2025

6 Minute Read

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See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster.

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The 2024 SANS Detection and Response Survey sheds new light on some all-too-familiar security challenges: security operations teams are overwhelmed with alerts, struggling to respond fast enough, and tracking the wrong KPIs. Sure, automation adoption is increasing (64% of organizations now leverage it in some capacity), but most SecOps teams are still operating in slow, reactive, and heavily manual environments.

Five Security Challenges Faced by SecOps Teams

1. Security teams are stuck in semi-automation mode.

Most security operations teams think they have automated response mechanisms, but they’re really just babysitting inefficient, semi-automated workflows. The SANS Survey data shows that while 64% of teams have automated response mechanisms in place, less than a quarter have fully automated their processes. That means the vast majority still rely on analysts to manually intervene and execute responses.

2. Slow response times are leaving organizations exposed.

Speed matters. Attackers are betting you’ll take a while to respond to threats. SANS found that a whopping 32.8% of teams take hours to respond to threats, and 41.4% say they respond within minutes. In today’s reality, even minutes can be too slow. Recent data shows that lateral movement breakout times dropped from 62 minutes to 48 minutes, with the fastest recorded breakout happening in just 51 seconds. If a response takes more than a minute, the damage may already be done.

3. Alert fatigue and data overwhelm are killing security team productivity.

It’s loud in the SOC. More than half of security teams say false positives are a huge problem, and 62.5% are overwhelmed by sheer data volume. Every second spent triaging junk alerts is a second not spent investigating real threats — meaning SOCs are burning through their most precious and expensive resource: human focus. Analysts’ expertise is critical for threat investigation and response, yet most of their time is wasted manually sorting through thousands of low-value alerts that should’ve been filtered out in the first place. This wastes time, burns out analysts, and, worst of all, lets real threats slip through.

4. Security teams are still tracking the wrong KPIs.

The most surprising part of the survey responses is that more than 50% of security teams aren’t even tracking KPIs like Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR). Instead, they’re tracking vanity metrics like the number of incidents detected — or, worse, they don’t have enough data to measure their own efficiency. Without the right data, SOC teams cannot optimize performance or reduce response times.

5. SOAR is holding teams back.

SOAR was supposed to be the answer to security automation… right? The majority of respondents use SOAR for threat response, but half still rely on manually running commands to respond to threats. This proves what we at Torq already know: SOAR hasn’t lived up to its promise. SOAR platforms were supposed to automate security workflows, but most teams still struggle with slow response times, rigid playbooks, and high maintenance overhead.

The Fix: An Autonomous SOC Powered by AI-Driven Hyperautomation

The answer to these existential security challenges isn’t manually tuning SOAR, tweaking detection rules hoping something works, or hiring more analysts (Be real: Where are you even finding them? The SANS Survey found the majority of security teams struggle with lack of skilled personnel). The real fix is an autonomous SOC powered by AI-driven Hyperautomation: a SOC that invests in AI and automation to eliminate inefficiencies, take action at machine speed, and, ultimately, shorten response times.

Comparison table showing how an autonomous SOC fixes 5 key security challenges.

1. Go autonomous.

Ditch the scripts, stop the manual tuning, and let AI take over. An autonomous SOC removes the need for engineers to build, maintain, and tweak workflows with extensive coding. Instead, teams can simply describe a workflow, use case, or outcome using natural language to guide agentic AI as it implements workflows to secure the organization faster than ever before. An autonomous SOC can handle 95% of Tier-1 cases — allowing security teams to focus on critical, high-impact threats, rather than babysitting outdated playbooks or struggling with the limitations of rigid SOAR architectures.

“With Torq Agentic AI, the answer is yes to questions such as: Are analysts happier? Are they sticking around? Do they have time to focus on more interesting and complex investigations? Are MTTM and MTTR lower? Torq Agentic AI extends and enhances our team so it can make better decisions more quickly — resulting in stronger security all around.”

– Mick Leach, Field CISO, Abnormal Security

2. Slash response time.

With SOC automation, alerts don’t sit in a queue waiting for an analyst to take action. AI-driven Hyperautomation instantly takes action to investigate alerts, enrich cases, and contain threats — isolating infected endpoints, disabling compromised accounts, and blocking malicious infrastructure before damage is done. Unlike SOAR’s static playbooks, an autonomous SOC leverages AI to tirelessly and intelligently analyze and remediate massive volumes of security incidents, shrinking response times from hours to seconds.

3. Eliminate alert fatigue.

AI Agents don’t just process alerts — they triage and prioritize them. AI-powered SOCs use sophisticated planning and contextual reasoning to filter out low-fidelity alerts, suppress false positives, and escalate only the alerts that matter. Analysts no longer have to sift through thousands of useless alerts — AI handles the noise so teams can focus on critical security risks.

4. Track the right KPIs.

An autonomous SOC should be able to measure security response and provide visibility into operations. Instead of requiring analysts to manually track and compile data, AI can capture and log detection times, response actions, and remediation speeds automatically. SOC leaders finally get a clear picture of what’s working, where bottlenecks exist, and what to optimize.

5. SOAR is dead. Ditch it.

SOAR is simply too slow, rigid, and high-maintenance to keep up with modern SOC demands. An autonomous SOC doesn’t rely on pre-scripted playbooks — it builds, executes, and adapts automation dynamically, all in natural language. With AI-driven Hyperautomation, security teams move faster than attackers, not the other way around. See the difference.

It’s time to move past the limitations of SOAR and slow, reactive security operations. Take your SOC autonomous — learn how easy it is to switch to AI-driven Hyperautomation from Torq.

Get the SOAR Migration Guide

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

Get a Demo

Customers Research Security Engineering

How to Automate Application Security Operations: 4 Ways

By Torq

March 21, 2025

5 Minute Read

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See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster.

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Maintaining an online business presence nowadays means that malicious actors are going to target and likely exploit any application vulnerabilities they can find sooner or later. According to the 2021 Mid Year Data Breach Report, although the number of breaches has declined by 24%, the staggering number of records that were exposed (18.8 billion) means that there is still room for improvement.

How can you protect your business from the constant threat of exposure and security breaches? One crucial step is to establish solid foundational layers of security controls that check and validate every part of the SDLC. By using automation when performing those checks, you can detect and prevent common security risks and exposures before they end up in production.

Keep reading for a comprehensive overview of application security automation, along with four ways to automate security ops to protect the core of your business from data breaches.

What Is Application Security?

The term application security (AppSec) refers to the series of processes and tools related to security controls that development teams use during SDLC. Creating secure software is hard, mainly because there are myriad risks involved. Attackers prefer to target web applications instead of infrastructure components because these applications offer a convenient way to access databases or other internal systems. Defenders need to plug up every conceivable hole, while attackers only have to find one vulnerable spot. This often results in an uneven playing field.

To counter that pervasive threat, development teams must adopt effective methodologies and best practices for developing secure software. One way to do this is to utilize tools to analyze the code both statically and dynamically to pick up any known insecure idioms. For example, a tool might flag code that is implementing unsafe casting, secrets that have been committed to VCS, or a failure to close streams after they have been used. Developers can manually review these issues and fix them before they get deployed to production.

Another strategy is to scan application dependencies. For example, when developing a financial app, developers might use an open source library that offers a convenient currency model. But how would they know that this library was safe? Dependency scanners monitor those dependencies and check to see if they are out of date or suffer from open CVEs. That way, they will know as soon as possible if anything changes.

Writing secure software starts with integrating proper application security controls and automating the process. We will explain that part next.

Why You Should Automate Application Security: Main Benefits

As we mentioned earlier, there are several tools and processes that development teams employ to flag risks in their software repositories. Automating this task helps you make the most of this process. That’s because you can achieve better coverage when looking for threats and find them sooner when you eliminate the manual parts of the process.

In addition, you will be better equipped to respond to security incidents. Your AppSec teams will have all the context they need to address any issues. Finally, you can achieve better compliance and auditing scores, since this eliminates the risks involved in working manually, such as skipped events and slower response rates.

Next, we’ll explain four important ways to automate application security operations.

Four Ways to Automate Application Security Ops

1. Trigger Automated Security Flows as Part of Your CI/CD Pipeline

The best place to start with automation is to implement shift-left security within the CI/CD pipelines. When we say CI/CD pipelines, we mean the various steps that are taken when pushing code in a remote environment. These steps include admission to VCS and triggering the CI pipeline, static code analyzers, security alerts, bots, and notification systems as well as external security integrations. Incorporating these steps will give you the best chance of protecting your application from exploits.

2. Validate/Enforce Requirements and Perform Periodic Checks When You Create Repositories, Components, and Cloud Environments

When developers create new repositories or provision new clusters that operate company accounts, there should be a preliminary check to apply basic security templates and policies. This will prevent gaps or missed security controls from the moment you create those resources until you actually use them. You want to create default standards for all components that prevent them from existing in a sub-standard security state.

3. Orchestrate Follow-Ups for Application Security Findings, Assign and Escalate Issues, and Validate Fixes

Once the system pinpoints security issues in your resources, you should use a separate mechanism to capture those events and store them in a threat intelligence platform. As we explained in this article on the basics of threat intelligence, you can pull and combine those indicators, run customized workflows, and deliver the information you collected to the system of your choice.

4. Automate Updates to Infrastructure-as-Code and Configuration Settings

Finally, consider your usage of Infrastructure-as-Code (IaC) and your configuration settings. These internal tools are part of the developer tooling, and they are also susceptible to exploitation. You will have to enforce the same kind of rules and policies when using those programs. It’s even better if you have an automated tool that monitors and updates only the development tools in your infrastructure. This way, you will not risk exposure or a major upgrade process if some of them become outdated or are found to contain a known vulnerability.

Next Steps: Automating Application Security Ops with Torq

The best way to automate application security ops is to create a strong foundation of tools, processes, and techniques. Attackers are constantly trying to exploit vulnerable applications. However, automating application security ops doesn’t have to be complicated. In fact, security and DevOps teams should be able to use a low-code platform to achieve those targets.

Torq offers a complete no-code platform for automating application security ops using threat intelligence, threat hunting, security bots, and workflow modules. You can request a demo here.

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

Get a Demo

AI Hyperautomation Research Security Automation 101

Incident Response Automation and Why It’s Critical for Your SOC

By Torq

March 14, 2025

8 Minute Read

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See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster.

Request a Demo

Speed is everything in security. Delayed responses to security incidents can result in business data loss, eroded trust, and significant financial impact. Traditional manual incident response can’t keep pace with today’s threats.

This is where incident response automation comes in. Using automated incident response tools and incident response orchestration, SOCs can now detect, investigate, and contain threats automatically — often before they escalate into critical incidents.

In this blog, we’ll break down what incident response automation is, why it’s essential, and real-life use cases for modern SOCs.

What Is Incident Response Automation?

Manual incident response relies heavily on human intervention and human reaction time. Analysts must identify the threat, triage, determine its impact, decide on a course of action, execute that action, and document everything — often while juggling dozens of other critical duties. It’s slow. It’s error-prone. And it leaves your organization vulnerable.

Powered by AI, incident response automation enables instant detection and response by automatically identifying and neutralizing threats — often before users even become aware of an issue. It delivers scalability by handling multiple incidents simultaneously across sprawling, complex environments without overwhelming the SOC.

Incident response automation empowers analysts by offloading repetitive, routine tasks, with predefined incident response playbooks, allowing human experts to focus their time and energy on strategic, high-value initiatives. And it drives operational maturity by feeding AI-driven insights back into detection and response processes, improving incident prevention.

What Are Automated Workflows in Incident Response?

At the core of incident response automation are automated workflows: rule-based sequences that determine what happens when a specific alert or event occurs. These workflows act as digital playbooks, ensuring every step of detection, containment, and remediation happens quickly, consistently, and without human error.

For example, when a phishing email is detected, an automated workflow might:

Identify and classify the threat
Quarantine the affected inbox
Revoke access tokens or reset credentials
Notify analysts via Slack or Teams with relevant context
Log and document the entire process automatically

Core Components of Automated Incident Response

Tool integration: Seamlessly integrates with existing security tools like SIEMs, EDR, firewalls, and threat intelligence platforms.

Scalability: Automated responses allow SOCs to handle more incidents without increasing headcount or operational costs.

Consistency: Uniform execution of best-practice-driven response actions reduces risk and ensures predictable outcomes.

Flexibility: Retains human oversight, allowing analysts to intervene or supervise as needed.

Alerting and detection: Real-time, automated detection reduces delays, ensuring immediate response.

Incident prioritization: Automated systems categorize incidents by severity, helping teams focus resources efficiently.

Remediation: Predefined automated actions such as quarantining compromised systems, blocking malicious IPs, and applying patches help ensure threats are rapidly contained and systems are restored to a secure state.

Reporting and post-mortems: Automated documentation simplifies root cause analysis and improves future responses.

Why Manual Incident Response Falls Short

Traditional manual incident response often suffers from:

Slow response times: Manual investigation wastes precious time during an active attack.
Inconsistency: Human error and variable response introduces risk at every step.
Alert overload: SOCs are overwhelmed by alerts. Manual triage is not sustainable.
Resource constraints: Manual processes are resource-intensive and don’t scale efficiently.

Automated incident response solves all of this. It scales with increasing volume, enforces consistency, and frees up your team’s time and energy to focus on strategic security initiatives.

Benefits of Automated Incident Response

Implementing automated incident response delivers clear advantages:

Faster response times: Automated detection and containment reduce response times (MTTR) from hours to seconds, limiting dwell time and minimizing impact.
Improved accuracy: Standardized, automated playbooks ensure predictable, repeatable actions that minimize human error.
Reduced alert fatigue: By automating repetitive triage and enrichment tasks, SOC analysts regain time for proactive defense and complex investigations — improving morale and retention.
Efficiency and accuracy: Automation scales effortlessly, handling hundreds of concurrent incidents without increasing headcount.
Streamlined compliance: Automated systems generate real-time incident logs, case summaries, and remediation records, ensuring every action is tracked for audits and compliance without manual effort.
Fewer false positives: AI-driven correlation and enrichment reduce noise by filtering out redundant or low-priority alerts, allowing analysts to focus only on genuine, high-risk threats.
Stronger security posture: Automation platforms continuously refine detection and response workflows using AI insights, adapting to new threats and strengthening your organization’s overall resilience.

Examples of Automated Incident Response in Action

Here’s how incident response automation plays out across different attack scenarios.

Phishing Attacks

When a phishing email bypasses perimeter defenses and lands in an employee’s inbox, time is of the essence. Automated incident response detects indicators like suspicious URLs, anomalous user behavior, or credential harvesting attempts. The automation system instantly isolates the affected inbox, revokes access to compromised credentials, removes the phishing email from all mailboxes, blocks the sender, and notifies impacted users.

Malware Containment

If malware is detected on an endpoint, automated workflows instantly disconnect the infected endpoint from the network, trigger forensic scans, kill malicious processes, and initiate recovery steps — containing the spread before it can escalate.

IAM Security

Identity and Access Management (IAM) is a prime target for attackers. Automated incident response continuously monitors for unusual login patterns, privilege escalation, dormant accounts, and policy violations. Upon detection, automation can instantly disable user accounts, enforce password resets, revoke elevated privileges, or require multi-factor authentication (MFA).

Cloud Detection and Response

Cloud security automation monitors cloud environments for misconfigurations like exposed storage buckets or open firewall ports. Upon detection, the system automatically isolates compromised assets, contacts the correct owners, executes remediation, and minimizes damage before analysts need to step in.

How to Automate Incident Response with SentinelOne and Torq

One of Torq Hyperautomation™’s greatest strengths is its ability to integrate with virtually any security tool. We team up with leading platforms like SentinelOne to create seamless automations that simplify SOC workflows, eliminate manual grind, and dramatically improve incident response times.

Here’s how Torq and SentinelOne combine forces to bring autonomous incident response to life:

1. Auto-Enrich SentinelOne Incidents with Intezer

Torq continuously polls SentinelOne for any unresolved threats. It extracts file hashes from those incidents and queries Intezer for threat intelligence enrichment. The results from Intezer are posted directly into the SentinelOne incident notes.

At the same time, Torq launches a Deep Visibility query to determine the extent of the threat across your environment. If Intezer flags a file as malicious or suspicious, Torq automatically prompts your SOC team in Slack to decide whether to launch an Intezer Live Scan. If the team answers yes, Torq remotely installs the Live Scan agent, runs the scan, gathers the results, and updates both the Slack channel and the SentinelOne threat notes.

2. Threat Hunt for SHA1 Signatures Across SentinelOne Endpoints

Torq enables rapid threat hunts that can be triggered directly from Slack. When a SOC analyst sends a Slack command containing a platform and a SHA1 file signature, Torq initiates an immediate threat hunt.

Torq adds the file hash to the SentinelOne blacklist and launches a Deep Visibility query to find all instances of the file across your managed endpoints. It identifies and notifies endpoint owners by integrating with Jamf or Intune. Torq updates the relevant Slack channel and then triggers a full disk scan on any affected endpoints to eliminate threats promptly.

3. Enrich SentinelOne Findings with Advanced Threat Intelligence

Torq enhances SentinelOne incident analysis by layering in threat intelligence from VirusTotal and Recorded Future. Torq regularly polls SentinelOne for newly detected threats. Torq extracts relevant file signatures for each threat and queries VirusTotal and Recorded Future for enrichment data, including reputation scores, malicious behavior indicators, and associated threat actors. This context is automatically added to the incident notes within SentinelOne.

Torq can also run a Deep Visibility query for additional results associated with the same file hash, ensuring SOC teams have complete situational awareness without lifting a finger.

Incident Response Automation with Torq

Torq transforms the way SOC teams do incident response. Our platform empowers organizations to:

Deliver faster, more accurate automated incident responses without requiring major increases in staffing.
Automate repetitive tasks while maintaining human oversight when needed.
Enable analysts to focus on strategic initiatives that harden security postures, rather than burning out on alert triage.
Socrates, Torq’s AI SOC Analyst, coordinates specialized AI Agents that autonomously handle enrichment, investigation, containment, and remediation.

Torq Hyperautomation makes it easy to deploy integrated incident response automation across your security environment. Let Torq automate your incident response and everything with it.

See how to get started with Torq. Get the Don’t Die. Get Torq manifesto.

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FAQs

What is incident response automation?

Incident response automation combines security orchestration and AI to accelerate and scale every stage of the incident lifecycle — detection, triage, containment, and remediation. Modern automated incident management software integrates with your existing security tooling (like SIEM, EDR, IAM, and cloud platforms) to reduce mean time to detect (MTTD) and mean time to respond (MTTR).

In short, it makes your SOC faster, smarter, and more resilient.

How does automated incident response work?

Automated incident response uses predefined workflows and playbooks to detect threats, analyze alerts, and trigger containment or remediation actions. For example, when a suspicious login or phishing attempt is detected, automation tools can isolate affected systems, revoke compromised credentials, and alert analysts automatically — all in seconds. This process improves speed, accuracy, and consistency across security operations.

What are the benefits of automated incident response?

The primary benefits of incident response automation include faster detection and response times, reduced analyst workload, and improved accuracy. Automation eliminates repetitive manual tasks, minimizes human error, and allows teams to handle a higher volume of alerts efficiently. It also enhances compliance by automatically documenting actions and builds a stronger, continuously improving security posture.

What are automated incident response tools?

Automated incident response tools are platforms that connect to your security ecosystem to detect, investigate, and remediate threats automatically. These tools orchestrate actions across SIEMs, EDRs, firewalls, IAM systems, and cloud platforms. Advanced solutions, such as Torq Hyperautomation™, leverage agentic AI to coordinate specialized workflows that operate at machine speed while maintaining full human oversight.

What are common use cases for automated incident response?

Common use cases include phishing detection and response, malware containment, insider threat mitigation, and cloud security enforcement. Automated incident response workflows can quarantine compromised endpoints, disable risky user accounts, revoke access tokens, or correct misconfigurations — all without manual intervention.

How do automated workflows improve incident response?

Automated workflows standardize how incidents are handled by mapping each step — from detection to remediation — into a repeatable sequence. These workflows ensure consistency, minimize delays, and eliminate guesswork during critical incidents.

How does Torq enable automated incident response?

Torq Hyperautomation™ unifies your existing security tools and automates entire workflows — from detection to remediation. Its agentic AI system, Socrates, coordinates specialized AI Agents to perform enrichment, investigation, containment, and documentation autonomously. With Torq, SOCs achieve faster response times, fewer false positives, and higher operational resilience.

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

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Customers Hyperautomation Use Cases

Combating Ransomware, Phishing, and Zelle Fraud at Financial and Bank SOCs

By Bob Boyle

March 12, 2025

7 Minute Read

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Banking and financial services companies sit on a goldmine of sensitive customer data, making them a prime target for phishing and ransomware attackers hoping to strike a payout.

Even with defenses like MFA and security training, human error continues to be a critical point of failure for financial institutions — a 2024 report found that 3 out of every 1000 individuals working in banking click on a phishing link each month. This stark reality of risk highlights the industry’s urgent need for more proactive, automated security processes.

Below, we break down the top financial and bank SOC use cases for security Hyperautomation and cover how a major regional bank successfully reinstated Zelle services by automating account lockdowns for fraud alerts.

The Automation Imperative in Finance and Bank Security Operations

Two of the most common — and critical — security operations priorities for CISOs we’ve talked to at banks and financial services companies are to:

Mitigate risk by quickly responding to, containing, and remediating attacks.
Maintain materiality by focusing on the most important security issues that could cause the biggest problems and by being able to accurately assess when a cybersecurity incident requires SEC reporting.

Achieving these requires reducing Mean Time to Respond (MTTR), ensuring swift and effective remediation, and gaining visibility across all identities and security assets. However, manual processes, a jungle of spreadsheets, and siloed data compound operational challenges at financial and banking organizations.

To modernize their financial and bank SOCs, forward-thinking CISOs are embracing Hyperautomation as a way to unify their security stack and automate incident response. Integrating solutions like ServiceNow or Snowflake with Torq’s AI-driven Hyperautomation platform can provide a single source of truth and streamline security operations for a stronger security posture and greater visibility across the SOC.

Top 5 Bank SOC Challenges Solved by Hyperautomation

Below are the top use cases being Hyperautomated by Torq’s financial services customer base, along with real-world examples of the workflows they have built.

1. Phishing Alert Analysis

Automate the extraction and aggregation of URLs, file hashes, and message headers from Outlook messages and attachments, providing a comprehensive data set for further security analysis.

Workflow Steps:

Receive potential phishing alert from Microsoft 365.
Execute parallel tasks to extract URLs from the email body, retrieve message headers, and process attachments (if present).
For the email body, extract all unique URLs and collect them.
Retrieve message headers using Microsoft Graph API and store them.
If the email has attachments, list them and filter out non-file attachments.
For each file attachment, retrieve detailed information and extract URLs from the content if available.
Collect and combine URLs from various sources (e.g. body and attachments). Set default values if no URLs are found.
Link message headers from the email and attachments, setting default values if none are found.
Generate a structured output containing URLs, file hashes, and message headers.
Nested Workflow: Case Management

2. Ransomware Case Creation and Categorization

Automate the ingestion and processing of CrowdStrike threat data by creating a comprehensive case in Torq. Once the case is created, notify the security team via email while categorizing the threat and adding relevant observables for further analysis.

Workflow Steps:

Extract specific fields from the incoming CrowdStrike event data into a sparse JSON object.
Flatten the JSON object for easier processing and format it for a markdown table.
Convert the event’s creation date to a specified format.
Create a markdown table from the formatted data.
Use a switch-case structure to categorize the threat as malware or ransomware, setting a variable accordingly.
Create a case in Torq using the extracted and formatted data, including custom fields and tags.
Add observables to the case, such as file hashes, with specified reputation scores.
Query historical cases and link any closed cases with matching observables.
Generate an access token for Microsoft 365 and send an email notification about the new case to the specified recipient list.

3. Automated Threat Analysis and Enrichment

Automate the process of extracting and analyzing threat intelligence data based on specific commands submitted by the security team — e.g. “Check IP”, “Check Hash”, or “Check Host”. Facilitate communications through Microsoft Teams to trigger the workflow and receive the enriched threat analysis.

Workflow Steps:

Evaluate incoming event text to determine the command type (!checkip, !checkhash, !checkhost).
- For !checkip: Extract IP address using regex and retrieve information for each IP from AbuseIPDC
- For !checkhash: Extract patterns using regex, retrieve analysis reports from AnyRun and get threats from SentinelOne
- For !checkhost: Extract patterns using regex and initiate a scan on SentinelOne agents, wait for a specified duration, then retrieve threats from SentinelOne.
Reply with the information gathered to the thread in the originating Microsoft Teams channel.

4. Case Management

Automate the process of checking for existing cases and creating new cases if necessary, ensuring efficient case management and reducing duplicate cases. This workflow is a valuable and repeatable tool for any case management program. Consider using a “nested workflow” attached to other Hyperautomated use cases (for example, see Phishing Alert Analysis above).

Workflow Steps:

Query existing cases to check if a case already exists with the specified name, event data, or observable submitted.
If a case exists, attach the new observable to the case and exit the workflow with the existing case ID.
If no case exists, create a new case with the provided details such as title, SLA, severity, and state.
After attempting to create a case, check the creation status.
If the case creation is successful, exit with the new case ID.

5. Fraud Detection

Automate the process of locking or unlocking a user account based on suspected fraud event data. Update your CRM with relevant fraud activity and notify the appropriate stakeholders with contextual information about the actions taken.

Workflow Steps:

Set workflow parameters to include user ID and notification email addresses.
Check if required fields are present in the event data.
Verify the user’s status via an API call and determine if the user should be locked or unlocked.
1. If lock: Execute an API call to lock the user and set a variable indicating the action taken.
2. If unlock: Execute an API call to unlock the user and set a variable indicating the action taken.
If the lock/unlock action is successful, query Salesforce to retrieve the user’s account information.
Add a “fraud task” to the user’s account in Salesforce and notify the specified email addresses of the action taken.
If adding the activity to Salesforce fails, send a failure notification to the specified email addresses.

Case Study: Automating Zelle Fraud Detection and Lockdown from End to End

A major regional U.S. bank with billions in assets faced an urgent, compliance-driven requirement to automate their detection and response to fraud alerts in Zelle, a customer-facing payment service that had been suspended by the SEC due to a surge in fraudulent activity.

With Torq’s Hyperautomation platform, the bank’s SOC quickly automated the end-to-end process of locking down accounts triggered by fraud alerts, enabling them to reinstate Zelle services. Torq also automates CRM updates, giving customer service immediate context when talking to customers about account lockdowns.

And that’s not all they achieved with Torq — read the case study for the full story of how they published over 100 workflows in just 3 months and reduced their Mean Time to Investigate (MTTI) from hours to minutes.

Get the Case Study

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

Get a Demo

Hyperautomation Security Automation 101 Use Cases

Spear Phishing vs. Whaling: Targeted Email Attacks Are Getting Smarter – Is Your SOC?

By Torq

March 7, 2025

6 Minute Read

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Phishing attacks are no longer generic ‘spray and pray’ — they’re precision-engineered. With the rise of AI-generated content, attackers are crafting highly personalized emails that mirror real internal communication, complete with tone, context, and believable urgency. Whether it’s an HR request targeting a new hire or a fake wire transfer email impersonating your CFO, today’s phishing attacks are custom-built to manipulate individuals, not just inboxes.

That’s why understanding the differences between types of phishing — especially spear phishing vs. a whaling phishing attack — is crucial. The more personalized the attack, the higher the stakes. And the more manual your detection and response, the slower (and riskier) your SOC becomes.

What is Spear Phishing?

Spear phishing is a highly targeted cyberattack aimed at a specific individual or organization, setting it apart from generic, mass phishing. Attackers research their targets to craft customized and convincing messages, often leveraging publicly available information from social media and company websites, such as personal names, roles, recent activity, or inside information, to build trust

Highly Targeted Emails with Personal Details

Spear phishing messages may reference the recipient’s name, job title, or company-specific context to make them more believable and reduce suspicion.

Spear phishing attackers often impersonate trusted internal figures like IT, HR, or team leads and may use emotional manipulation tactics and a false sense of urgency, such as “I need these gift card codes ASAP for a client!” to coax users to click or respond quickly without taking time to verify the legitimacy of the request.

Common Goals: Credential Theft, Malware Delivery, Account Access

Most spear phishing campaigns are designed to either trick users into revealing login credentials, installing malware, or granting access to sensitive systems — all while flying under the radar of traditional defenses.

What is Whaling?

A whaling phishing attack is a high-stakes subcategory of spear-phishing that specifically targets or impersonates high-level executives, such as CEOs, CFOs, or General Counsel. These “big fish” are chosen due to their significant access to critical data and financial assets, promising a substantial payoff for attackers.

CEO/CFO/General Counsel Impersonation or Targeting

Whaling attackers focus on top executives or impersonate them to pressure subordinates.

A common whaling tactic cybercriminals use is to mimic the writing style of a CEO or CFO in emails or texts to executive assistants, finance staff, or vendors. Attackers may scrape public communications like press releases or LinkedIn profiles to make these messages feel authentic.

Usually Involves High-Value Requests: Wire Transfers, Sensitive Data

Whaling often centers around urgent financial transactions such as wire transfers of large sums of money, highly sensitive corporate data such as confidential M&A documents, or login credentials to critical systems — anything that can cause maximum damage if mishandled.

Tactics Include Urgency, Authority, and Spoofed Domains

Whaling attackers employ sophisticated tactics, including urgency, authority, and spoofed domains and emails, to pressure targets into immediate action without suspicion. They might use subtle misspellings in domain names or mimic corporate logos to enhance credibility, making these attacks particularly challenging to detect.

Spear Phishing vs. Whaling: Key Differences

Here’s how spear phishing and whaling compare head-to-head.

	Spear Phishing	Whaling
Target Audience	Any employee	Executives (CEO, CFO, General Counsel)
Payload & Objectives	Steal login credentials, access accounts, deliver malware	Initiate wire transfers, steal confidential data
Level of Personalization	High: includes personal/company context	Very high: mimics executive language/tone
Potential business Impact	Medium to high: data loss, lateral movement	Extremely high: Catastrophic financial loss, compliance risk, reputational damage

5 Ways to Detect and Prevent Spear Phishing and Whaling Attacks

Security teams can implement several layered defenses, but they won’t scale without security automation. Here’s what works.

1. Employee and Executive Phishing Awareness Training

Because spear phishing and whaling rely on social engineering and psychological manipulation, your people are your most important line of defense. Use mock phishing exercises to teach employees how to recognize impersonation, suspicious links, and pressure tactics. Executive-specific training should highlight whaling phishing threats.

2. Email Authentication (DMARC, SPF, DKIM)

Implementing email authentication protocols (e.g., DMARC, SPF, DKIM) is fundamental. These protocols help verify the legitimacy of email senders, making it much harder for attackers to spoof domains. Automation can be used to continuously monitor and enforce these policies, automatically flagging or blocking non-compliant emails at the gateway.

3. Suspicious Email Flagging and Sandboxing

Security automation platforms can automatically analyze incoming emails for suspicious links or attachments, detonate them in a secure sandbox environment to observe their behavior, and quarantine the original email if malicious activity is detected.

4. AI-Powered Phishing Detection Tools

AI-powered phishing detection can instantly analyze various email attributes — content, sender behavior, and metadata — to identify anomalies and patterns that indicate phishing. Automated workflows can then triage these alerts, escalating confirmed threats for immediate response.

5. Workflow-Based Phishing Response Automation with Hyperautomation

By orchestrating security tools across the entire environment, Torq Hyperautomation™ can automatically take action upon detecting a phishing attempt, such as blocking the sender, removing malicious emails from all inboxes, resetting compromised login credentials, and isolating affected endpoints — all at machine speed.

How Phishing Attempts Lead to SOC Burnout and Alert Fatigue

Let’s be blunt: phishing is killing SOC productivity.

Due to its sheer volume, phishing is one of the largest categories of alerts in most SOCs. Thanks to the increasing sophistication of phishing attempts, even false positives can require careful scrutiny. Analysts are stuck performing the same tedious phishing triage tasks over and over — decoding headers, extracting IOCs, checking against threat feeds, and drafting user responses.

This overload is unsustainable. It leads to alert fatigue, burnout, and missed threats. So what’s the solution?

How Torq Detects and Eliminates All Phishing Threats

Torq Hyperautomation eliminates the manual phishing grind by automating the entire phishing response lifecycle. Crucially, for high-stakes attacks like spear phishing and whaling, Torq:

Detects anomalies in email traffic by ingesting data from various sources, identifying unusual patterns in sender behavior, email content, and attachment types that may indicate a malicious attempt.
Connects with email security tools to block threats, orchestrating actions with Secure Email Gateway (SEG) providers like Abnormal Security, Microsoft, and Proofpoint to quarantine or remove malicious emails before they reach end users.
Automates incident response, ensuring that confirmed phishing attempts trigger immediate, predefined workflows, including isolating compromised accounts, initiating endpoint scans, and resetting credentials.
Streamlines reporting, providing a consolidated view of phishing threats and incidents and enhancing overall security posture with actionable insights.
Routes high-risk cases (like whaling attempts) to appropriate decision-makers instantly, ensuring that executive-level threats receive immediate attention and rapid, informed responses.

Hyperautomate Your Phishing Defenses

Spear phishing and whaling attacks are getting more convincing by the day, and can have devastating consequences. With Torq, your security team can cut through the noise of phishing attempts, automate rapid detection and response, and provide robust protection for even your highest-value targets. Stop chasing phishing attempts manually and start crushing them with machine speed, consistency, and precision.

Ready to build a more efficient, effective SOC to defend against modern threats?

Get the SOC Efficiency Guide

FAQs

Is whaling a type of phishing?

Yes, whaling is a subcategory of phishing, specifically a more advanced and targeted form of spear phishing.

What is the difference between phishing and spear phishing?

Phishing is a broad, untargeted cyberattack that uses generic messages to deceive a wide audience into revealing sensitive information. Spear phishing, on the other hand, is a highly targeted attack customized for specific individuals or organizations, making it more personalized and convincing.

Who are the typical targets of spear phishing attacks?

Spear phishing attacks can target any employee within an organization. In comparison, whaling focuses on top executives.

What is the primary goal of a spear phishing attack?

The primary goal of a spear phishing attack is to steal confidential information, such as login credentials or financial details, or to deliver malware to the target’s system.

What is an example of a spear phishing attack?

An example of a spear phishing attack is an email sent to an HR staffer, appearing to be from the CEO, urgently requesting employee payroll information, which then leads to the leaking of that data.

What is a commonality between spear phishing and whaling?

Spear phishing and whaling both rely on social engineering techniques and share the objective of stealing sensitive information or gaining access to critical accounts or systems.

What are the four types of phishing?

The four common types of phishing are phishing, spear phishing, whaling, and smishing (SMS phishing). Vishing (voice phishing) is also often included as a fifth.

What is the difference between clone phishing and spear phishing?

Clone phishing involves creating a near-identical copy of a legitimate, previously delivered email, but with malicious links or attachments. Spear phishing, while also highly targeted, focuses on crafting a new, personalized message from scratch based on extensive research of the target, rather than replicating an existing email.

What is the best example of spear phishing or whaling?

One of the best real-life examples of spear phishing or whaling involves an attacker posing as the CEO of Snapchat, who targeted an HR staffer, resulting in the leakage of payroll and other employee information.

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

Get a Demo

AI AI SOC Hyperautomation Security Automation 101

AI SOAR Alternative: Why SOAR is Dead and What’s Next

By Torq

March 6, 2025

8 Minute Read

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See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster.

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Last Updated December 2025

Security Orchestration, Automation, and Response (SOAR) was once hailed as the answer to a more efficient and automated Security Operations Center (SOC). The idea was compelling: automate repetitive tasks, reduce manual workloads, and speed up response times.

But fast-forward to today, and despite generations of SOAR evolution, SOCs are still battling familiar challenges. Here’s why SOAR is dead — and why AI SOAR alternatives like Hyperautomation have replaced it.

What is SOAR?

SOAR first emerged in the mid-2010s, promising to automate SOC tasks and improve operational efficiency. It aimed to accelerate incident response, reduce manual workloads, and unify siloed tools.

While SOAR platforms were able to automate simple tasks like phishing response and threat intel propagation, they ultimately fell short in addressing the core challenges of modern SecOps: threat detection, investigation, and response (TDIR).

SOAR platforms were designed to orchestrate tools, automate workflows, and respond to alerts more efficiently. Theoretically, they should unify disparate technologies into a cohesive system where incidents can be enriched, triaged, and remediated through pre-built playbooks. So what went wrong?

Why SOAR Failed to Automate the SOC

To understand why SOAR hasn’t met expectations, examining the nature of SOC work is important. Security operations involve a combination of two types of tasks:

Thinking tasks: Interpreting alerts, determining scope and impact, and creating response plans.
Doing tasks: Activity-based tasks like taking response actions, updating systems, and notifying stakeholders.

SOAR platforms were pretty good at automating “doing” tasks, but they struggle with the more complex, judgment-driven “thinking” tasks. Here’s why:

Too complex: Thinking tasks require deep understanding, data synthesis, security expertise, and decision-making. Replicating these traits with static playbooks is nearly impossible.
Unpredictable: Security operations deal with highly variable inputs, which leads to an ever-expanding set of edge cases that are difficult to account for in playbooks.
Not customizable: Out-of-the-box playbooks rarely meet an organization’s specific needs, leading to expensive custom coding and high maintenance burdens.

Over 80% of organizations agree SOAR is too complex, costly, and time-consuming — and nearly 90% admit that building even basic automation requires a huge upfront investment in time and resources.

Even GenAI advancements aren’t enough. SOCs need security automation that can adapt and understand the complexities of threat detection and investigation. Automating the “thinking” tasks is the key to achieving true SOC automation.

Instead of solving problems, legacy SOAR platforms created new ones: rigid architectures, limited integrations, disconnected defenses, and overwhelmed analysts drowning in alert noise. Built on monolithic, non-cloud-native infrastructure, SOAR can’t scale, can’t adapt, and definitely can’t keep up with modern threat landscapes.

SOAR isn’t just outdated — it’s holding security teams back. See why SOAR is dead.

Introducing Hyperautomation: The Only AI SOAR Alternative

As organizations reach their breaking point with traditional SOAR’s shortcomings, they’re turning to the only effective AI SOAR alternative — Hyperautomation. This next-gen approach fuses Gen AI, agentic AI, low-code/no-code orchestration, and cloud-native infrastructure into a single, adaptive engine for modern security operations.

Unlike traditional automation or AI SOAR point solutions, agentic AI-driven Hyperautomation doesn’t just execute tasks — it thinks, learns, and scales. It mimics the analytical reasoning of human analysts, turning high-effort “thinking” functions into fully autonomous, intelligent workflows. From real-time triage to dynamic response, Hyperautomation redefines what’s possible in the modern SOC.

Hyperautomation + AI Agents = A Happy SOC

At the heart of a Hyperautomated SOC are AI agents. While Hyperautomation connects and automates the entire security stack, agentic AI brings the cognitive power — making independent decisions, adapting, and continuously learning from every signal.

This combination transforms traditional automation into something far more powerful: a fully autonomous SOC workflow that mimics human judgment at machine speed. The outcome isn’t replacing human analysts — it’s making their lives in the SOC less stressful and more engaging.

Benefits of AI agents in the SOC include:

Finding more real threats: Agentic AI can process and correlate every alert at machine speed, allowing SOCs to uncover real threats that might otherwise go unnoticed.
Reducing MTTR: By eliminating manual bottlenecks in triage and investigation, agentic AI can drastically reduce response times, helping SOC teams resolve incidents in minutes instead of days.
Boosting analyst productivity: Automating repetitive tasks frees up analysts to focus on higher-value work, such as investigating complex incidents or working on strategic initiatives.
Increased efficiency: With agentic AI handling the mundane tasks, analysts can shift their focus to more meaningful work, improving job satisfaction and reducing burnout.

Leading Analysts Agree: SOAR is Dead

Leading industry analysts, including Gartner, GigaOm, and IDC agree that legacy SOAR platforms are obsolete. Modern cybersecurity demands flexibility, speed, and intelligence that only Hyperautomation can provide.

In their recent report, IDC confirms what security teams already know: Legacy SOAR promised efficiency but delivered complexity. IDC specifically highlights AI SOAR replacement, Torq Hyperautomation™, as a game-changing platform that goes beyond automation and enters the realm of true autonomous operations — powered by agentic AI, built-in case management, and real-time orchestration across the entire security stack.

“Hyperautomation is the answer to existing SOAR platforms. Torq’s Hyperautomation capabilities can help improve the efficacy of security teams now and in the future. The agentic AI architecture is disruptive.”

– Chris Kissel, Vice President, Security & Trust Products, IDC Research

Real-World Impact: AI SOAR in Action

Valvoline: Saving 7 Analyst Hours Daily After Legacy SOAR Failed

When Corey Kaemming became Senior Director of InfoSec at Valvoline, his team had just been cut from 24 to 12 analysts during a major divestiture. Their legacy SOAR was a bottleneck — deeply customized, code-heavy, and impossible to maintain. Only a handful of SMEs could build new use cases, and when the SOAR broke, it broke everything. Analysts spent up to 12 hours daily reviewing and triaging phishing emails alone.

Valvoline deployed Torq Hyperautomation and saw operational value within 48 hours. A Rapid7 integration their legacy SOAR couldn’t complete after hundreds of hours was running in under a week. Torq now automatically monitors email activity, correlates data across Microsoft 365, Defender, and CrowdStrike, and escalates only when necessary.

The Results:

6–7 analyst hours saved per day on phishing workflows alone
Automated containment: Malicious link clicks trigger instant password resets, session terminations, and coordinated response
Operational ROI from day two with continued expansion across teams
Non-developers building workflows thanks to drag-and-drop logic and in-platform testing

Bloomreach: Scaling Automation Enterprise-Wide After Traditional SOAR Stalled

Bloomreach‘s 24×7 global SOC relied on traditional SOAR, but the platform demanded developer-level expertise for every workflow. Automation was siloed in the hands of just a couple of specialists. Adoption lagged, workflows bottlenecked, and the SOC couldn’t scale its automation culture beyond a few power users. Junior analysts were locked out of the automation process entirely.

Torq HyperSOC™ democratized workflow building across the entire team. Torq Socrates, the AI SOC Analyst, added intelligence to every step, from triage and enrichment to suggested actions. The platform’s flexibility allowed Bloomreach to extend automation beyond the SOC into Help Desk and Business Intelligence teams.

The Results:

5+ analyst hours saved per week from just two workflows — with dozens more in production
Analysts at every level now build and maintain workflows independently
Enterprise-wide adoption: Help Desk automates account management; BI automates Salesforce renewal workflows
Faster learning curve: Team members productive without completing formal training

Why Torq HyperSOC™ is the Definitive SOAR Replacement

Legacy SOAR platforms promised security automation. Torq HyperSOC delivers it at a scale, speed, and intelligence legacy systems simply can’t match.

Torq HyperSOC is the industry’s first fully autonomous SOC platform, powered by a Multi-Agent System (MAS) that triages, investigates, and remediates threats. It doesn’t just respond to alerts — it thinks, acts, and learns like a human analyst, but faster and 24/7.

Our cloud-native, AI-powered SOC platform delivers:

Limitless integrations: Torq connects with virtually any tool in your security ecosystem — EDR, SIEM, IAM, cloud, SaaS, or legacy — with no-code simplicity. You can integrate and automate stack-spanning workflows in minutes, not months.
Real-time threat response: Powered by agentic AI, Torq doesn’t just wait for alerts — it autonomously triages, investigates, and remediates threats as they emerge.
Proactive defense: Torq detects patterns, identifies risks before they escalate, and automates preemptive actions to neutralize threats at the source.
Unmatched scalability: Whether you’re processing 100 or 100,000 alerts daily, Torq’s cloud-native, event-driven architecture handles it without sweat.

This isn’t just an AI SOAR — it’s a whole new category. Torq Hyperautomation isn’t trying to fix legacy problems with band-aid solutions. It’s built from the ground up for the AI era, where speed, intelligence, and adaptability aren’t nice-to-haves — they’re SOC survival essentials.

The Torq Difference: What Sets Us Apart from SOAR Vendors

SOAR is Dead: Long Live Hyperautomation

The era of legacy SOAR is over. Organizations are increasingly making the switch to Torq Hyperautomation, the true AI SOAR alternative that can meet the modern SOC’s demand for speed, autonomy, and adaptability.

Ready to step into the future of security operations? Our team has helped major enterprises from every industry make the switch, quickly and easily.

Get the Migration Guide

FAQs

What are the main signs that our SOAR platform is failing?

Your analysts spend more time fixing broken integrations than investigating threats. If every vendor API update triggers a playbook outage, if your team avoids building new workflows because maintenance is already unmanageable, or if your SOAR backlog grows faster than you can clear it — those aren’t operational quirks. They’re structural failures. The clearest sign: your automation platform is creating more work than it eliminates.

How long does it typically take to migrate from traditional SOAR to AI-powered Hyperautomation?

Faster than the SOAR implementation took. Valvoline was running production workflows within 48 hours of deployment. Full migrations vary by environment complexity, but the model is consistent: stand up the platform, convert high-priority use cases first, run both systems in parallel during the transition, then decommission SOAR once confidence is established. The migration doesn’t require rebuilding from scratch — existing playbook logic translates, and the AI layer handles the decision-making complexity that used to require nested rules.

What's the average cost difference between maintaining SOAR versus implementing Hyperautomation?

The SOAR price tag understates the real cost. The licensing fee is just the entry point — add the professional services fees for every integration repair, the specialist time required to maintain playbooks, and the analyst hours lost to alert fatigue from a system that can’t keep up. Bloomreach recovered 5+ analyst hours per week after switching to the Torq AI SOC Platform. Valvoline recovered 6-7 analyst hours per day. That’s headcount you already have — redirected from maintaining broken automation to doing actual security work.

Visit our in-depth guide on Hyperautomation for detailed insights >

What are the benefits of using Torq's AI solutions?

Torq’s AI solutions offer reduced Mean Time to Respond (MTTR), 95% automated triage of Tier-1 alerts, and significant reductions in analyst burnout. By deploying Agentic AI, Torq acts as a force multiplier, allowing lean teams to handle enterprise-scale threat volumes.

Can existing SOAR playbooks be converted to work with AI-driven platforms?

Yes. The logic you’ve already built doesn’t disappear — it migrates. Playbook conversion is a core part of the transition process, and most existing workflows translate directly. In many cases, playbooks that required 30+ conditional branches in SOAR simplify significantly when AI handles the contextual decision-making.

What specific skills do SOC teams need to transition from SOAR to Hyperautomation?

The skills your team already has. If your analysts can reason through an investigation and your engineers can build a SOAR playbook, they can operate a Hyperautomation platform. The primary shift is conceptual, not technical: instead of scripting every decision path in advance, you define the outcomes you want and let the AI handle the branching logic. The teams that struggle most with SOAR — because the maintenance burden outpaced their capacity — typically find the transition straightforward. They’re not learning a new skill. They’re getting time back.

What actionable steps can a SOC take to implement AI SOAR?

Implementing AI SOAR follows a structured approach. Start by auditing your current SOAR pain points — identify which playbooks break most often and which tasks consume the most analyst time. Next, prioritize high-volume, repetitive use cases like phishing triage or endpoint alerts for initial automation. Then, select a platform with no-code integration capabilities to accelerate deployment. Finally, measure baseline metrics (MTTR, alert volume, analyst hours) before implementation to quantify ROI. Torq’s agentless, API-first architecture enables deployment in days, not months.

Which types of security incidents benefit most from AI SOAR alternatives?

Any incident that requires correlating context across multiple tools, making judgment calls with incomplete information, or adapting based on asset criticality. Phishing response, identity threat detection, and cloud misconfiguration remediation are high-impact starting points — high volume, well-understood response patterns, and clear ROI when automated correctly. The incidents where SOAR falls short — the ones with too many variables for a static playbook — are exactly where AI-driven platforms deliver the most value.

How do you measure ROI when replacing SOAR with Hyperautomation?

Start with analyst hours recovered per week. That’s the most immediate, measurable outcome — and it converts directly to dollar value based on your team’s loaded cost. Layer in mean time to respond (MTTR) before and after, the number of automated use cases your team can sustain, and integration maintenance time as a percentage of total automation effort. The leading indicators show up within weeks. Valvoline and Bloomreach both tracked recoverable analyst hours as their primary early metric.

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

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AI Hyperautomation Security Automation 101

What is the Pyramid of Pain in SOC Automation?

By Patrick “PO” Orzechowski

March 4, 2025

7 Minute Read

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Patrick Orzechowski (also known as “PO”) is Torq’s former Field CISO, bringing his years of experience and expertise as a SOC leader to our customers. PO is a seasoned security veteran with a deep understanding of the modern security landscape. You can find him talking to SOC leaders and CISOs from major brands at cybersecurity events around the world.

How to Solve Common SOC Pain Points With AI-Driven Hyperautomation

About 10 years ago, Alex Pinto came up with the idea of the threat intelligence “Pyramid of Pain” in the talk Measuring the IQ of Your Threat Intelligence Data at at DEF CON ‘22. I love this idea and I think it applies to a lot of aspects of cybersecurity, especially as we move towards a more autonomous, less human-involved security operations center (SOC).

Looking to automate your SOC? Below, I walk through each level of the Pyramid of Pain applied to the security automation journey as a framework for reducing business risk and accelerating incident mean time to respond (MTTR).

The SOC Automation Pyramid of Pain: From Bottom to Top

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Level 1: The Basics — Integrations, Enrichment, and Context

The promise of legacy SOAR was to automate the core functions of a SOC, especially from a Tier-1 and Tier-2 perspective. These are the most basic aspects of automating security operations and have been around forever, dating back to Perl scripts! Whether you use Python, Go, or any other automation capabilities including PowerShell, these capabilities have existed since security operations centers have been a thing.

Any automation platform that you implement should have these enrichment capabilities inherently built into them to enhance and contextualize indicators of compromise (IOCs), identities, and assets. They’re the foundation of automation and the core of security operations. Crucially, they should also enable the humans who work in your SOC to be as efficient and effective as possible when it comes to responding to threats, new vulnerabilities, and systems that exist in your environment.

Difficulty: Low
Business risk impact: Low

Time savings: 80-90% reduction in manual data enrichment, saving 1-2 hours per SOC analyst daily.

Cost efficiency: Up to 730 hours saved per analyst annually (based on 2-3 hours of manual tasks per day). At an average hourly rate of $50, this equals $36,500 saved per analyst per year, or $365,000 for a 10-analyst team.

Productivity gains: 30-50% faster triage due to immediate access to enriched data.

Overall risk reduction: Fewer missed IOCs due to consistent enrichment (priceless!).

Level 2: Moving Up — Collaborative Case Management

Case management is an essential piece of any security operations automation platform. Legacy SOAR and traditional case management systems do not take into account all of the other teams and functions that are involved in a typical incident response scenario.

In contrast, Torq’s case management system in HyperSOC™ allows collaboration between teams’ workflows and workspaces that enable different organizations to enrich and contribute to an incident response scenario.

Difficulty: Low
Business risk impact: Low

Time savings: 25-50% reduction in time spent managing cases due to automated workflows.

Cost efficiency: Avoiding the need to hire one additional analyst saves $100K-$150K annually (varies by location), including salary and benefits.

Productivity gains: SOC analysts can consistently handle 2-3x more cases at the same time without additional headcount.

Reduced Mean Time to Respond (MTTR): Automation reduces MTTR by up to 50-70%, allowing faster incident containment and remediation.

Risk reduction: Faster response minimizes the potential financial impact of a breach. The average cost of a data breach was $4.88M in 2024.

Level 3: Automated Reporting — KPIs and SOC Metrics

SOC metrics have consistently posed a challenge for enterprises. Metrics such as Mean Time to Respond (MTTR), Mean Time to Detect (MTTD), Mean Time to X, and other similar measurements often fail to capture the true scope of business risk.

To address this, an automation system should facilitate collecting metrics across all security tools and the entirety of an enterprise’s security stack. This provides a comprehensive view of the SOC’s activities, processes, and resulting business outcomes — ensuring that the impact of security operations is clearly understood.

Difficulty: Low
Business risk impact: Medium

Time savings: Up to 90% reduction in time spent generating compliance and audit reports.

Reporting accuracy: Minimal to no errors in reporting, ensuring compliance with regulatory frameworks like GDPR and PCI-DSS.

Fine avoidance: By ensuring reporting accuracy and compliance, companies could avoid, for example, $50K-$100K per month for PCI-DSS violations (depending on the transaction volume and duration), or up to €10 million or 2% of global annual revenue, (whichever is greater) for GDPR non-compliance.

Level 4: Basic Automated Response — Point Solution Capabilities

Every security vendor, whether endpoint, firewall, email, or any other point solution, should prioritize robust API capabilities to enable automated response and remediation.

At this point in the security automation journey, enterprises should be able to automate responses to critical incidents, such as host isolation, malicious processes, stolen or compromised identities, and assets that have been identified as vulnerable to critical Internet-exposed vulnerabilities.

Difficulty: Medium
Business risk impact: High

Response time improvement: 80%+ faster containment for malware infections, phishing attacks, and account compromises.

Overall risk reduction: Significantly decreased threat exposure window through automated response actions within seconds to minutes.

Increased employee satisfaction: Reduced analyst burnout as analysts focus on complex threats instead of repetitive tasks. 89% of employees report higher job satisfaction after adopting automation solutions.

Savings through talent retention: With a global shortage of 2.3M+ SOC analysts, retaining talent is paramount. More satisfied analysts leads them to stay around longer — and not needing to hire an additional single SOC analyst saves between $50-$100K (varies by region), including recruitment, training, and lost productivity. Companies using Hyperautomation report retention as a key ROI metric for 43% of leaders.

Level 5: The Point of the Spear — Fully Automated Remediation Across the SOC

At the highest level of security automation maturity, organizations should be bringing together all of the capabilities of their security stack. This integration should extend to IT security operations, DevOps, cloud communications, and cloud capabilities, as well as any on-premise or custom applications, enabling a comprehensive automated response to threats and vulnerabilities.

The aim is to streamline and automate all processes that are identified to reduce business risk and improve MTTR, integrating the entire IT and security stack to achieve autonomous remediation. This paves the way for an autonomous SOC that handles routine security responses, with human intervention reserved for critical decisions.

Difficulty: High
Business risk impact: High

MTTR reduction: Up to 70% decrease in MTTR, minimizing business disruption during high-severity incidents.

Risk elimination and consistency: Near-zero human error ensures consistent, immediate investigation and remediation of critical incidents.

Operational scalability: SOCs can handle a 200-300% spike in incident volume without adding headcount.

Labor cost savings: Near-zero human intervention required for routine remediation actions saves thousands of hours annually, equivalent to $300K-$500K in labor costs (region dependent).

The Value of Automating SOC: How Much You Can Save

Pyramid of Pain Level	Tangible Value and Metrics
1. Enrichment and API Integration	80-90% time savings on data enrichment $50K-$100K cost savings 30%-50% faster triage
2. Collaborative Case Management	25-50% time savings on case management 3x case handling capacity $100K+ annual savings 50-70% MTTR reduction
3. Metrics/KPIs and Automated Reporting	90% time savings on generating reports Regulatory non-compliance fine avoidance
4. Basic Automated Response	80%+ faster response Higher employee retainment and satisfaction Improved threat containment
5. Fully Automated Remediation	Near-zero manual effort Scalable security operation $300K-$500K in labor cost savings

More Autonomy, Less Pain

By harnessing the power of agentic AI on a Hyperautomation engine, Torq’s platform combats SOC killers like alert fatigue, manual workflow building, inefficient case workloads, and wading through pages of logs to write case summaries and reports. Autonomous triage, investigation, and response reduces MTTR and frees up analysts to focus on the fun stuff like strategic projects and complex, critical incidents.

This is the promise of the autonomous SOC — and it’s the pitch that won Torq the Innovation Sandbox competition at CPX 2025.

Want to chat about how to reach the top of the SOC Automation Pyramid of Pain?

Let’s Talk

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

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News & Events

Torq Named One of America’s Best Startup Employers By Forbes and Business Insider

By Ofer Smadari, CEO & Co-Founder

February 28, 2025

3 Minute Read

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See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster.

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I couldn’t be more proud of our employees and the unique corporate culture we’ve established at Torq since we began this journey in 2020. In 2024, we hit 200% in employee growth along with 300% revenue growth as our Agentic AI and autonomous SOC solutions gained dramatic Fortune 500 adoption.

And the world has taken notice with Forbes naming us to its America’s “Best Startup Employers 2025” list and Business Insider calling us one of the “43 startups to bet your career on in 2025.”

High Octane Culture & Careers

Having these top-tier publications validate and reflect what every Torq employee feels when they start work every day is truly gratifying. We established this company as one where employees could achieve their career goals, significantly enhance their skills and knowledge, and have a whole lot of fun in the process.

This culture was prominently on display at our Sales Kickoff a few weeks ago in Madrid, where employees from across the globe gathered to plan how the year unfolds and celebrate our incredible momentum and accomplishments to date. The enthusiasm at the event was electric and contagious as we drove our “All Gas, No Brakes” theme across every element of the organization.

Photo of Torq CEO Ofer Smadari at Torq's 2025 Sales Kickoff in Madrid — one of the best startup employers to work for. — “All gas, no brakes”: Torq CEO Ofer Smadari and team at the company’s 2025 Sales Kickoff in Madrid.

One of America’s Best Startup Employers

Forbes chose Torq for its list by analyzing a set of KPIs that correspond to company growth and workplace satisfaction. After gathering more that 7 million data points from over 20,000 eligible companies, 3,000 employers qualified for in-depth analysis. In the end, only 500 employers were included in the ranking, including Torq. Each employer’s final evaluation was based on three key criteria: employer reputation, employee satisfaction, and company growth.

A Startup to Bet Your Career On

Business Insider researched startups that have strong founding teams and investor dollars, with a focus on AI. It determined Torq was among a handful of companies advancing by leaps and bounds across sales and employee growth, along with technological prowess.

These accolades belong to every single Torq employee that’s contributed to this amazing journey to date. This is a place where people come to do their best work, push the technological envelope as far as it can go, and where every idea is given an open forum for consideration.

Thanks again to Forbes and Business Insider. And thanks to Torqers worldwide. We’re just getting started!

We’re Hiring

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

Get a Demo

AI News & Events

Torq’s AI-Native Autonomous SOC Wins Check Point’s CPX 2025 Innovation Sandbox Competition

By Torq

February 27, 2025

4 Minute Read

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Torq took home the top prize at Check Point’s 2025 Innovation Sandbox Competition during their annual CPX conference in Las Vegas. Chris Coburn, Torq’s Sr. Director of Tech Alliances, faced off against 13 other companies to pitch Torq’s AI-native autonomous SOC to a panel of judges and voting audience.

As the Sandbox Innovation winner, Chris earned the opportunity to deliver a main-stage keynote to thousands of security professionals and leaders, sharing how Torq’s game-changing agentic AI and Hyperautomation capabilities are saving SOC analysts from burn out while strengthening overall security posture.

“We are witnessing a new era in cybersecurity, and we are thrilled with the innovation throughout the ecosystem. It’s clear that AI and machine learning will play a critical role in shaping the future,” said Brian Linder, Head of Cyber Evangelists in the Office of the CTO at Check Point. “We congratulate Torq on winning first place in the competitive Innovation Sandbox at CPX 2025 Americas and look forward to following their journey as they continue to innovate as an emerging player in cybersecurity.”

The Pitch: AI or Die — Saving the SOC with Agentic AI and Hyperautomation

“It’s time to adopt AI or die. Everybody’s saying it — AI’s here now and it’s going to be a massive part of cybersecurity going forward. Torq is using AI to help solve everything that is killing our SOC teams every day.”

– Chris Coburn, Sr. Director of Tech Alliances, Torq

SOCs are in crisis. Security teams are getting buried by alerts and they spend way too much of their time trying to make different tools communicate with each other and trying to get different data formats to make sense with each other. Even when analysts find a true positive alert, the investigation, communication, and remediation steps can be disjointed and painful. This overwhelm causes alerts to be missed, leaving organizations vulnerable to attacks and breaches.

To combat these SOC killers, Torq is offloading all of the mundane, highly repetitive tasks to Hyperautomation and AI — turning down the volume so human analysts can focus in on critical threats, with enriched insights to accelerate their decision-making.

Torq’s AI-native autonomous SOC is made up of three components:

A foundation of enterprise security-grade architecture built completely on zero trust, cloud-native, extensible software.
A Hyperautomation engine which makes building automations as easy and powerful as possible, integrated across your entire security stack.
AI agents that act as accelerators for SOC operations. These include an AI Workflow Builder that rapidly generates custom automation workflows using natural language prompts, AI Case Summaries that deliver concise, structured summaries so your team can get up to speed faster, and Socrates, Torq’s agentic AI SOC Analyst that can autonomously triage, investigate, and remediate 95% of Tier-1 cases.

AI-driven Hyperautomation changes the picture for SOCs today. With Torq, 95% of Tier-1 incidents can be autoremediated, allowing human security analysts to focus on the strategic and engaging work that they actually care about.

This is the promise of the autonomous SOC — and Torq is making it happen.

Explore Torq's winning autonomous SOC pitch for Check Point CPX 2025's Sandbox Innovation competition.

Want more where this came from? Get the AI or Die Manifesto >

Check Point Speeds Up Their SOC with Torq HyperSOC™

“With Torq HyperSOC, we can react automatically to problems before they become security incidents.”

– Jonathan Fischbein, CISO at Check Point

Check Point was facing a challenge that many security teams can relate to: too many alerts and too few analysts. When Check Point’s CISO Jonathan Fischbein went on the hunt for a security automation solution, feedback from fellow CISOs and CIOs led him to bypass legacy SOAR products in favor of Torq’s HyperSOC solution.

Key ‘wow factors’ for Check Point included:

Easy-to-use UI centered around the SOC analyst experience to make their jobs easier
Days-fast deployment of dozens of AI-driven playbooks, automating responses to some of the organization’s most repetitive security alerts
Integrations that “fit like a glove” with Check Point’s existing security stack

Today, Torq’s AI-driven HyperSOC investigates, triages and remediates many of Check Point’s internal security alerts without any human intervention. If an alert meets certain parameters based on security policies, the platform autonomously takes action, such as initiating an MFA challenge or locking out a suspicious user. High-priority incidents are routed for human intervention, with intelligent case insights and recommendations that help analysts make better decisions, faster.

The end result? Dramatic efficiency gains and reduced alert fatigue.

Read Check Point’s Story

SEE TORQ IN ACTION

Ready to automate everything?

“Torq takes the vision that’s in your head and actually puts it on paper and into practice.”

Corey Kaemming, Senior Director of InfoSec

“Torq HyperSOC offers unprecedented protection and drives extraordinary efficiency for RSM and our customers.”

Todd Willoughby, Director

“Torq saves hundreds of hours a month on analysis. Alert fatigue is a thing of the past.”

Phillip Tarrant, SOC Technical Manager

“The only limit Torq has is people’s imaginations.”

Gai Hanochi, VP Business Technologies

“Torq Agentic AI now handles 100% of Carvana’s Tier-1 security alerts.”

Dina Mathers, CISO

“Torq has transformed efficiency for all five of my security teams and enabled them to focus on much more high-value strategic work.”

Yossi Yeshua, CISO

Get a Demo

Contents

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Why Legacy SOAR Platforms Fall Short and How to Transform Your SOC

Stop Lifting and Shifting: Redesign Workflows with Hyperautomation

Unblock Your Stack: Eliminate Integration Limits with Torq

Go From Concept to Workflow, Fast

Inside the SOC Transformation Experience: What Surprises Torq Customers Most

Real-World Impact: Torq Use Cases

Alert Overload

Playbook Maintenance Drain

Slow Incident Response

Transform Your SOC: Get the SOAR Migration Guide

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Gigaom: Hyperautomation vs. Legacy SOAR

IDC: Hyperautomation Signals the End of SOAR Era

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Contents

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Five Security Challenges Faced by SecOps Teams

The Fix: An Autonomous SOC Powered by AI-Driven Hyperautomation

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What SOC Analysts Actually Want From AI

How Torq Optimizes Agentic SecOps From Detection Through Resolution with Google SecOps

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What Is Application Security?

Why You Should Automate Application Security: Main Benefits

Four Ways to Automate Application Security Ops

1. Trigger Automated Security Flows as Part of Your CI/CD Pipeline

2. Validate/Enforce Requirements and Perform Periodic Checks When You Create Repositories, Components, and Cloud Environments

3. Orchestrate Follow-Ups for Application Security Findings, Assign and Escalate Issues, and Validate Fixes

4. Automate Updates to Infrastructure-as-Code and Configuration Settings

Next Steps: Automating Application Security Ops with Torq

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What Is Incident Response Automation?

What Are Automated Workflows in Incident Response?

Core Components of Automated Incident Response

Why Manual Incident Response Falls Short

Benefits of Automated Incident Response

Examples of Automated Incident Response in Action

Phishing Attacks

Malware Containment

IAM Security

Cloud Detection and Response

How to Automate Incident Response with SentinelOne and Torq

1. Auto-Enrich SentinelOne Incidents with Intezer

2. Threat Hunt for SHA1 Signatures Across SentinelOne Endpoints

3. Enrich SentinelOne Findings with Advanced Threat Intelligence

Incident Response Automation with Torq

FAQs

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The Automation Imperative in Finance and Bank Security Operations

Top 5 Bank SOC Challenges Solved by Hyperautomation

1. Phishing Alert Analysis

2. Ransomware Case Creation and Categorization

3. Automated Threat Analysis and Enrichment

4. Case Management

5. Fraud Detection

Case Study: Automating Zelle Fraud Detection and Lockdown from End to End

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Contents