AI Hyperautomation

What is Hyperautomation?

By Torq

March 18, 2025

5 Minute Read

Hyperautomation Definition

So, what is Hyperautomation? It’s a strategic business approach that unifies multiple automation technologies to streamline and speed up complex processes end to end. While traditional automation focuses on repetitive, rules-based tasks, Hyperautomation layers in intelligence, adaptability, and orchestration for machine-speed efficiency — transforming how teams work across IT, business, and cybersecurity.

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Automation vs. Hyperautomation

At a glance, automation and Hyperautomation sound similar, but they solve very different problems in cybersecurity. Traditional automation handles simple, repetitive tasks. Hyperautomation spans systems, layers in AI-driven decision-making, and coordinates human-machine collaboration at scale. It’s about full lifecycle automation — detection, triage, enrichment, response, and resolution — across multiple domains.

In cybersecurity, this means moving beyond automating password resets or phishing reports. Hyperautomation empowers your security operations center (SOC) to autonomously detect threats, prioritize alerts, trigger tailored responses, and continuously optimize based on results.

How Hyperautomation Tools Work

Hyperautomation isn’t one tool — it’s a coordinated ecosystem. It connects multiple Hyperautomation technologies into a single framework, typically combining:

GenAI and agentic AI for decision-making and contextual awareness
Low-code/no-code platforms for fast workflow building without extensive coding
Business process management for orchestrating complex workflows
Integration platforms for connecting apps, tools, and systems
Analytics and reporting tools for measuring performance and optimizing automations over time

Hyperautomation can adapt — systems can dynamically adjust workflows, update rules based on new data, and seamlessly coordinate human and machine collaboration.

The Hyperautomation Advantage

Hyperautomation technology transforms SecOps by delivering faster, smarter, and more scalable operations. Here’s a quick look at the biggest Hyperautomation benefits:

Ease of use: With drag-and-drop interfaces and no coding required, anyone on the security team can create powerful automations in minutes. Complex threat responses become easy to build, deploy, and scale across teams without relying on the complexity of legacy SOAR solutions or waiting for custom coding.
Lower costs: Dedicated expert support with no surprise consulting fees.
Secure on-prem connectivity: Zero-trust agents connect hybrid environments securely.
Flexible, full-stack automation: Integrate and automate anything across cloud, infrastructure, and on-prem systems.

From Automation to Hyperautomation

Security automation started with promise — but hit its limits fast. Legacy SOAR tools were designed to orchestrate basic security actions but broke down under the weight of modern security demands. Static playbooks, brittle integrations, and clunky interfaces turned what was supposed to be “automation” into yet another bottleneck.

Security teams needed a new way forward as threats grew faster, more dynamic, and more complex. Unlike SOAR, Hyperautomation doesn’t just automate a few steps; it transforms the entire SOC workflow.

It connects tools across your technology stack, enables context-aware decisions, and executes actions quickly. And because it’s built with low-code/no-code at its core, it empowers any analyst, not just engineers, to build, test, and deploy workflows in minutes.

Where SOAR failed to scale, Hyperautomation moves 10x faster with infinite extensibility, seamless integrations, and built-in case management to reduce noise and prioritize what matters. It enables SOCs to go from “human-in-the-loop” to “human-on-the-loop,” directing strategy while AI and automation handle the grind.

When paired with agentic AI, Hyperautomation becomes the foundation of the autonomous SOC, which is a SOC where alerts are triaged, threats are hunted, incidents are remediated, and analysts stay focused on the big picture.

Hyperautomation Use Cases in Cybersecurity

Hyperautomation doesn’t just make your SOC more efficient — it can transform how your team works. Here are some ways where Hyperautomation delivers major impact for cybersecurity teams.

1. Incident Response
Hyperautomation enables end-to-end incident response without human bottlenecks. From initial detection and triage to investigation, enrichment, and remediation, intelligent SOC automation accelerates every phase of the process — reducing mean time to respond (MTTR) from hours to minutes.

2. Phishing
Phishing is a top entry point for attackers. Hyperautomation instantly identifies suspicious messages, quarantines affected inboxes, revokes compromised credentials, and notifies users — all without requiring analyst intervention.

3. Just-in-Time (JIT) Access Provisioning
Managing administrative privileges across a hybrid infrastructure can be a nightmare. Hyperautomation grants and revokes access dynamically based on workflows and business rules, reducing privilege creep and improving security posture.

4. Threat Hunting
With Hyperautomation, SOCs can continuously search for threats using AI agents across SIEMs, EDRs, and identity platforms. It’s proactive defense — and it’s fast.

5. Identity and Access Management (IAM)
From self-service access validation to automatic account cleanup, Hyperautomation brings control and consistency to identity workflows, ensuring alignment without added complexity.

Hyperautomation with Torq

Torq Hyperautomation™ combines agentic AI, low-code/no-code workflow building, and multi-system security orchestration into one unified experience. Whether you’re deploying across cloud, on-prem, or hybrid environments, Torq makes it easy to automate your entire SOC — without needing a single line of code.

Key benefits of Hyperautomating your security operations with Torq include:

AI-native: Orchestrate AI agents that triage, investigate, and remediate alerts.
Low-code simplicity: Use drag-and-drop or natural language prompts to build advanced workflows in minutes.
Massive integration library: Connect with any tool in your security stack and beyond.
Built-in case management: Prioritize and enrich alerts automatically, route decisions to the right people, and track everything.

As threats grow faster, more complex, and more automated, your response strategy has to evolve just as quickly. Whether you’re replacing legacy SOAR, reducing alert fatigue, or scaling your SOC, Torq’s Hyperautomation platform gives you the speed, intelligence, and flexibility to stay ahead.

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

By Bob Boyle

March 12, 2025

7 Minute Read

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.

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The SOC Automation Pyramid of Pain

By Patrick “PO” Orzechowski

March 4, 2025

7 Minute Read

Patrick Orzechowski (also known as “PO”) is Torq’s 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.

Why AI-driven Hyperautomation is the answer to your SOC pain.

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).

Level Up: Security Automation Value Across the Pyramid of Pain

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?

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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

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

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

By Torq

February 27, 2025

4 Minute Read

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.

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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

AI

The Dawn of Agentic AI in the SOC

By Torq

February 25, 2025

7 Minute Read

But the AI conversation has evolved recently as a new buzzword has taken over: agentic AI. Underlying the hype are real advancements that have the potential to transform security operations by adding autonomous, goal-oriented decision making to AI-powered SOCs. Gartner even named agentic AI one of the Top Strategic Technology Trends for 2025.

Agentic AI is especially promising for security operations as a way to tackle persistent challenges such as alert fatigue, analyst burnout, and an ongoing talent shortage. Additionally, as increasingly automated attacks intensify the stakes for SOC teams, agentic AI will be a pivotal technology to counteract evolving threats through improved proactiveness and scalability.

What is Agentic AI in the SOC?

Agentic AI refers to artificial intelligence systems that operate with enhanced autonomy to execute tasks and make decisions. Agentic AI can pursue complex goals and execute workflow tasks with limited direct human supervision. It uses sophisticated reasoning and iterative planning to solve complex, multi-step problems on its own, adapting to real-time data and learning from its environment.

Agentic AI can transform SOCs through the ability to independently triage, investigate and remediate threats — accelerating incident response and enhancing overall security posture.

When combined with Hyperautomation, agentic AI can help achieve the autonomous SOC, in which AI handles the vast majority of Tier-1 and Tier-2 alerts, freeing up human analysts to focus on complex, high-priority incidents and strategic projects (aka the rewarding, engaging, and impactful work that analysts actually want to spend their days doing, rather than wading through false positives and writing reports).

2 Key Use Cases for Agentic AI in the SOC

1. Agentic AI in Phishing Response

Phishing continues to plague SOCs as one of the most common attack vectors for data breaches and ransomware. Agentic AI can elevate phishing response capabilities by streamlining triage, investigation, and containment once detections are flagged by external systems.

Through seamless integrations with email security, identity management, threat intelligence, EDR, CMDB, and SIEM solutions, Torq’s Agentic AI can autonomously:

Examine recipients, email content, links, attachments, IOC reputations, and related case and threat information to determine scope and impact, identifying users who received, opened, or interacted with an email.
Execute environment-wide sweeps for malicious payloads and correlate data to reveal compromised accounts or systems.
Initiate containment steps such as quarantining emails, resetting credentials, terminating sessions with enforced MFA, and blocking malicious domains or IPs.

2. Agentic AI in EDR Response

Experts predict that 20% of new malware strains will be AI-assisted by 2025. Agentic AI can bolster malware detection and response by orchestrating rapid analysis, scoping, containment, and eradication once suspicious activity is flagged by external platforms.

Torq’s Agentic AI integrates with EDR, CMDB, SIEM, and threat intelligence tools to autonomously:

Analyze file behavior (including hashes, signatures, and sandbox results), monitor endpoint resource usage, and detect suspicious persistence mechanisms or privilege escalations.
Correlate anomalies across multiple endpoints to identify the scope of compromise, pinpointing infected hosts, associated IOCs, and potentially affected privileged accounts.
Swiftly isolate infected endpoints, disable compromised accounts, and kill malicious processes. Malicious file hashes and IP addresses are then added to deny lists for continuous monitoring. Eradication actions can include removing malicious files, cleaning up affected systems, or re-imaging endpoints, ensuring a thorough remediation.

Torq’s Multi-Agent System: Agentic AI in Action

When you peel them back, many “AI SOC Agents” on the market are simply ChatGPT-style natural language chatbots. They may be capable of running steps and workflows but lack deep integrations and autonomous capabilities.

In contrast, Torq’s Multi-Agent System is deeply integrated across the full security stack and able to take complex action and tackle multi-step tasks. At the helm is Socrates, Torq’s agentic AI SOC Analyst which can conduct fully autonomous case investigation, enrichment, and remediation from start to finish, as well as generating contextual recommendations. Alongside Socrates, Torq’s other AI agents provide AI-generated workflows, code, data transformations, case summaries, and more — helping SOC teams get more done, faster.

The Agentic AI ‘Wow Factor’ for Security Operations

“I believe the successful use of agentic AI in SOC operations shows up in practical outcomes. 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

Boosting analyst engagement and retention: Rather than replacing human analysts, agentic AI can actually help make their day-to-day work in the SOC more rewarding and engaging by eliminating many of the “SOC analyst killers” that bog them down, such as alert fatigue, summarizing cases, and writing reports. This is crucial in a cybersecurity field that continues to deal with an ongoing talent shortage.
Augmenting human expertise: For complex and high stakes cases that require human intervention, analysts can collaborate with agentic AI to make faster and better-informed decisions. This is thanks to agentic AI’s ability to correlate information from multiple tools, signals, and third-party threat intelligence to contextually enrich cases and provide deeper insights.
Improving security posture: Through its ability to identify patterns and anomalies that may indicate malicious activity, agentic AI improves threat detection and response, enabling SOCs to proactively mitigate threats. Automated incident response and alert triage can reduce mean time to detect (MTTD), mean time to respond (MTTR), and mean time to containment (MTTC), minimizing the impact of security incidents.
Enhancing operational efficiency and scalability: By handling Tier-1 and Tier-2 alerts and automating routine tasks, agentic AI frees up human analysts to focus on more strategic initiatives, such as threat hunting and vulnerability management. Agentic AI also enables SOCs to scale more efficiently, managing a higher workload without adding headcount.

Considerations for Building Trust in AI in the SOC

SOCs planning to deploy AI capabilities, including agentic AI, should take steps now to document and audit current processes, as it will be important to ensure that AI and automation is used to scale effective processes, rather than to compensate for ineffective ones. Security teams should also establish a method to quantify operational gains from an AI deployment.

As with any new technology, AI in the SOC will require new skills and training for security teams, such as learning how to effectively collaborate with agentic AI. Any agentic AI solution deployed should be able to raise a flag when it is missing information or requires human validation. For example, if the AI’s threat analysis leads it to recommend quarantining a laptop but the user’s title is “CEO”, the system should have the intelligence and boundaries to flag that the decision is “above its pay grade” and then escalate the decision for human review and approval.

To combat the risk of AI hallucinations and build trust in AI, the system must be able to transparently explain why it made the decisions it made and how it came to the conclusions it did. This requires the AI to bolster its insights and recommendations with citations to original, forensic evidence.

AI or Die: Get the Manifesto

While agentic AI is still a relatively nascent technology, its potential to revolutionize security operations is undeniable. But the crowded AI SOC market makes careful selection essential.

Get the AI or Die Manifesto to learn red flags that separate AI-washed vaporware from truly impactful AI for the SOC, as well as strategic considerations for effective adoption.

Get the Manifesto

Torq Signed the CISA Secure by Design Pledge

By Aner Izraeli

February 5, 2025

7 Minute Read

Advancing Security by Design

The CISA Secure by Design Pledge perfectly aligns with our approach to security. This initiative emphasizes the importance of building security into the foundation of all products and services.

For Torq, this means integrating robust security measures throughout our development lifecycle, from initial concept to deployment and beyond.

By signing this pledge, we are reinforcing our commitment to:

Proactive security measures: Embedding security into every layer of our platform, ensuring our customers’ data is protected at all times.
Transparency: Providing clear, actionable information about managing and securing data, empowering our customers to make informed decisions.
Continuous improvement: Regularly evaluate and enhance our security practices to stay ahead of evolving threats.

What This Means for Our Customers

When you choose Torq, you’re not just selecting a SaaS solution but partnering with a company that prioritizes your security. Our adherence to Secure by Design principles means:

Minimal configuration risks: Our platform is designed to work securely out of the box, reducing the burden on your team to configure complex security settings.
Enhanced resilience: With built-in safeguards and automated protections, your organization’s security posture remains robust despite emerging threats.
Ongoing support: We’re committed to providing tools, resources, and guidance to help you confidently navigate security challenges.

This blog post outlines our commitment, investments, and transparency in those Secure by Design principles and our plans for the upcoming security year 2025.

Multi-factor authentication (MFA)

“Within one year of signing the pledge, demonstrate actions taken to measurably increase the use of multi-factor authentication across the manufacturer’s products.”

Torq’s customer’s default application authentication is SSO-based via federation through external identity providers, ensuring uncompromised authentication standards for our customers.

This approach ensures consistent MFA configuration and enforcement with their identity provider’s MFA settings.

Torq supports SAML 2.0 and OpenID Connect with code flow and implicit grant type. It’s compatible with many enterprise IDPs, including:

Google
Microsoft Entra ID
Okta
OneLogin

Supported SSO Methods and Protocols

Open ID connect
SAML 2.0

Default passwords

“Within one year of signing the pledge, demonstrate measurable progress towards reducing default passwords across the manufacturers’ products.”

Torq’s customers are invited to their new workspace by an invite email directly sent to their corporate mailbox.

The invite email contains a unique invite link, and clicking it invokes the authentication process.

When a customer’s admin user logs in to their Torq account using the invite link, they use their email and self-generated password; hence, no default passwords are involved.

Per policy, customers are informed that 2FA is necessary to continue.

The user must scan the QR code presented or enter the activation code into a recognized authenticator application on their cellular device.

Upon completion, the customer can set up the organization’s SSO, which neglects password usage thereafter.

Torq’s application password policy enforces the following criteria:

Between 8 to 20 characters
At least one capital letter
At least one lowercase letter
At least one number
At least one special character

Reducing entire classes of vulnerability

“Within one year of signing the pledge, demonstrate actions taken towards enabling a significant measurable reduction in the prevalence of one or more vulnerability classes across the manufacturer’s products.”

Torq adopts a “security by design” approach to effectively minimize attack surfaces that are vulnerable to potential threats.

That said, to effectively deal with zero-day attacks and reduce vulnerabilities, Torq has a few key components aiming at that goal, such as:

Penetration testing
Scanning Torq’s supply-chain pipeline, including code dependencies (open source), containers (dockerfiles), code (SAST), Secrets, and IaC as part of SDLC and CICD
Utilizing the world’s best-of-breed CNAPP
Utilizing Distroless cloud workloads
Utilizing an EDR vulnerability scanning module on Torq’s laptop devices fleet and addressing findings through automation

Looking ahead:

Over the course of the following year, we intend to focus on improving runtime visibility, gaining better and higher vulnerability verdict.

Security patches

“Within one year of signing the pledge, demonstrate actions taken to measurably increase the installation of security patches by customers.”

As a SaaS offering, Torq’s application is updated continuously through a process where Torq manages the deployment of new features, bug fixes, and security patches. Customers benefit from automatic updates without needing to install new versions manually. Torq’s Continuous integration and deployment (CI/CD) pipelines enable rapid, frequent updates, allowing it to deliver improvements and patches quickly while ensuring stability and performance.

No action is necessary on the customer’s part to have these patches automatically applied to their workspaces.

Customers are notified through Torq’s “what’s new” segment and through https://kb.torq.io/en/

Vulnerability disclosure policy

“Within one year of signing the pledge, publish a vulnerability disclosure policy (VDP).”

In addition to Trust Center, where customers can obtain up-to-date reports, policies, and the status of Torq’s security posture, Torq also maintains a Security and Compliance public page within its torq.io commercial website – https://torq.io/security-compliance/

At the bottom of this page, visitors are introduced to Torq’s privacy and security mail accounts for any security-related matter, including vulnerability disclosure.

Torq addresses and responds to any approach made.

https://torq.io/security-compliance/

As a continuous improvement, the process could be enhanced by having a dedicated online form for a better vulnerability disclosure experience within Torq’s security-compliance page.

CVEs

“Within one year of signing the pledge, demonstrate transparency in vulnerability reporting.”

At Torq, we take security seriously and continuously monitor our platform for vulnerabilities. Unlike traditional software that requires customers to manage their own patches, SaaS platforms like ours are centrally managed, allowing us to rapidly mitigate security issues without requiring customer intervention.

CVE (Common Vulnerabilities and Exposures) program focuses on publicly disclosed security vulnerabilities in software products, hardware, and firmware.

Torq is a SaaS offering that, by its operational fashion, is non-distributable and installed on its customers’ end. Hence, it does not directly fit and is obligated to issue CVEs disclosure.

We believe in transparency and proactive security measures.

Our approach to vulnerability management includes:

✅ Continuous monitoring and rapid patching – We detect and remediate security issues before they impact customers.

✅ Customer notification – We will notify impacted customers if a vulnerability affects data security or compliance.

✅ Third-party component reporting – If an issue involves open-source or third-party software, we may issue a CVE when appropriate.

✅ Security bulletins – We publish important security updates via our Trust Center.

✅ Regulatory compliance – We align with industry standards (e.g., SOC 2, ISO 27001, FedRAMP) to ensure best-in-class security.

Evidence of intrusions

“Within one year of signing the pledge, demonstrate a measurable increase in the ability for customers to gather evidence of cybersecurity intrusions affecting the manufacturer’s products.”

Torq generates audit logs. These logs provide a comprehensive record of events within a workspace, capturing various actions and changes. They record events such as user activities, workflow changes, and resource modifications. Typically, log entries are created immediately after an action is taken. The audit logs include the event occurrence, timestamp, the user or service that initiated the action, and the affected entity.

To enhance the security and oversight of your workspace, audit logs could be streamlined to a SIEM or bucket using Torq workflows, steps, or API.

Looking Ahead

As cyber threats evolve, Torq’s security journey doesn’t stop here. Signing the CISA Secure by Design Pledge is just one of many steps we’re taking to ensure our platform remains a trusted partner for businesses worldwide. Our team will continue to innovate, collaborate, and advocate for security practices that benefit not only our customers but the broader digital ecosystem.

We’re excited about this new chapter and its meaning for our customers. By seamlessly integrating security into our solutions, we’re not just mitigating risks — we’re enabling your success.

Stay tuned for more updates on how we’re driving security excellence at Torq, and feel free to reach out if you have any questions about our Secure by Design journey.

Cloud Security Automation with Torq + Sweet Security

By Torq

February 4, 2025

5 Minute Read

For security teams, resolving a cloud incident takes an average of 10 days — time attackers can exploit to cause further damage. The problem? SOCs often lack the context and cloud security automation they need to respond faster. That’s where the partnership between Torq and Sweet Security changes the game.

Why SOCs Need Torq and Sweet Security

Sweet Security delivers the real-time, cloud visibility SOCs need to identify threats quickly and accurately. Torq takes it further by automating the response process, bridging the gap between detection and action. Together, they empower SOC teams to neutralize threats in minutes — not days — reclaiming control over their cloud environments and staying ahead of attackers.

Sweet Security: Raising the Bar for Cloud Detection and Response

Sweet Security approaches cloud protection with precision and expertise that stands apart. Their platform combines unified cloud visibility across the cloud infrastructure, workloads, and applications with deep runtime context, enabling SOCs to detect and neutralize real-time threats as they unfold. By integrating cutting-edge, cloud-native technologies, Sweet equips security teams to handle even the most sophisticated attacks with confidence and resilience.

Sweet’s Detection & Response capabilities reduce MTTR by enriching incident insights with detailed information on human and non-human identities, including roles, users, and service accounts. By correlating siloed cloud events into a comprehensive attack story and leveraging an advanced threshold mechanism to minimize false positives, Sweet ensures deeper context and alerts only on high-probability malicious incidents. Seamless orchestration with Torq further amplifies these capabilities.

Torq Hyperautomation: Transforming SOC Operations

Torq has redefined what’s possible for SOCs by enabling Hyperautomation across workflows. With Torq, SOC teams can design, deploy, and scale automated incident responses — reducing manual work and freeing analysts to focus on critical decision-making. Whether it’s accelerating the triage process, auto-remediating threats, or optimizing collaboration between tools and teams, Torq’s platform brings unmatched speed and precision to security operations.

Together, Torq and Sweet Security’s integration achieves what was once thought impossible: full-spectrum cloud protection, automated at scale.

What the Integration Delivers to SOC Teams

Torq and Sweet’s integration creates a seamless threat detection and resolution pipeline. Here’s how:

Unified cloud visibility meets real-time automation: Sweet Security provides SOCs unparalleled insight into cloud environments, while Torq transforms these insights into automated actions. When Sweet’s platform identifies an anomaly, Torq can immediately trigger a workflow to respond to the threat.
Proactive incident response: Cloud attacks often unfold in seconds, leaving SOC teams little time to react. With this integration, Sweet’s real-time detection feeds directly into Torq’s cloud security automation workflows, enabling SOCs to mitigate threats faster. For example, Sweet’s advanced capabilities allow for the detection of the human identity responsible for an incident and the ability to directly question the user about their activity — without requiring SOC intervention.
Customizable workflows for every cloud environment: No two organizations operate the same cloud stack. Torq’s no-code platform allows security teams to tailor response workflows that align perfectly with their unique cloud setups, ensuring that Sweet Security’s detections are met with tailored, effective responses.
Enhanced SOC efficiency and morale: Automation doesn’t just eliminate repetitive tasks — it empowers SOC teams to operate at their best. By integrating Sweet’s intelligence with Torq’s workflows, analysts are no longer bogged down by manual processes, allowing them to focus on strategic initiatives that strengthen overall security posture.

A Use Case: From Detection to Mitigation in Minutes

Imagine this scenario: Sweet Security identifies unusual activity in a cloud environment, flagging a misconfigured container with potential malware. The alert triggers a prebuilt Torq workflow that:

Enhances alerts with additional context from threat intelligence sources, as well as data from cloud provider APIs and log services, such as AWS CloudTrail and CloudWatch.
Automatically reaches out to asset owners through Slack or Microsoft Teams, enabling them to remediate minor issues without involving the SOC.
Isolates the container while verifying the presence of malware.
Deploys a remediation script to correct the misconfiguration.
Directly engages the suspected user to verify their activity — eliminating the need for SOC intervention.

All of this occurs in minutes — not hours or days — significantly reducing the attack’s impact.

Example cloud security automation workflow with Torq and Sweet Security.

Looking Ahead: Strengthening the Future of Cloud Security

The Torq and Sweet Security partnership isn’t just about solving today’s cloud security challenges — it’s about preparing SOCs for the future. With the increasing sophistication of cloud-native attacks, the ability to integrate real-time detection with scalable automation will be a non-negotiable for every security team.

At its core, this collaboration underscores a simple but powerful truth: when detection meets automation, SOCs can achieve extraordinary outcomes. By combining Sweet Security’s advanced cloud-native detection with Torq’s Hyperautomation platform, security teams are no longer playing catch-up. They’re setting the pace.

Ready to See Cloud Security Automation in Action?

For a detailed walk-through on integrating Torq and Sweet, check out the Knowledge Base article.

To learn more about how Torq and Sweet Security are transforming cloud security, schedule a demo today and experience the future of SOC operations firsthand.

Torq Announces 300% Revenue Growth and Opens EMEA HQ in London

By Don Jeter, CMO, Torq

January 28, 2025

4 Minute Read

In 2024, we officially closed the door behind us on SOAR and blew open the door ahead for Torq Agentic AI security solutions, which are now used by some of the biggest names in cybersecurity, consumer packaged goods, industrial automation, retail, and telecommunications. We’re talking about companies you know and love, like Abnormal Security, Check Point Security, Chipotle Mexican Grill, Deepwatch, Inditex (you may know them better by their brands Zara, Bershka, and Pull & Bear), Informatica, PepsiCo, Procter & Gamble, Siemens, Telefonica, and Wiz. And our unique security operations approach was validated by Gartner, IDC, Forrester, and GigaOm.

EMEA Expansion and New London HQ

Well, guess what? We’re just getting started. In 2024, Torq achieved incredible market penetration across North and South America, and APAC, where Torq HyperSOC and Torq Hyperautomation products are now firmly established as the premiere Agentic AI and autonomous SOC solutions of choice for global enterprises. And now, I’m so pleased to let you know we’ve dramatically expanded operations across EMEA.

We’ve got brand new EMEA headquarters in London, and we’ve appointed Usman Gulfaraz as our new VP of EMEA Sales. Usman is a high-octane, phenomenal leader, who was most recently responsible for global revenue at Speechmatics. Previously, he ran EMEA for Tessian, which he helped lead to acquisition by Proofpoint. And prior to that, he ran EMEA for Shape Security which he helped lead to acquisition by F5. We’ve also just appointed Jaicee Matthews as our Head of EMEA Marketing. Jaicee previously led marketing teams for GTT, Edgio, and Lumen Technologies. Both of them are based in London.

I asked Usman for his thoughts and here’s what he told me: “I’m absolutely elated to join this world-class team of cybersecurity professionals making such a huge difference for enterprises around the world. Every day, I’m increasingly hearing from EMEA customers and prospects about their excitement about Torq HyperSOC featuring our Agentic AI Multi-Agent Framework. Demand is so high for Torq, I barely have time to write this quote for you, Don. The sky’s the limit for Torq and the fact that my email and phone are constantly blowing up says it all.”

Accelerating EMEA Partner Momentum

Our EMEA partner base is also increasing by leaps and bounds. It already includes AdvanceSec, Bytes Software Services, Check Point, GlobalDots, Nubera, Nueva Group, Softcat, Tata Group, Wiz, and WWT, with dozens more about to sign.

Here’s what Adam McCaig, Head of Security Strategy and Services at Bytes Software Services, had to say: “We’re thrilled to partner with Torq and continue to deliver innovation that matters to our customers. Demand for Torq’s game-changing Hyperautomation Platform and Torq HyperSOC continues expanding exponentially. Together, Torq and Bytes Software Services are making enterprise SecOps teams across EMEA more productive and focused with their AI-driven SecOps and autonomous SOC solutions, ensuring organizations can mitigate existential security issues before they have a chance of creating adverse impacts.”

Focus on Autonomous SOC

In 2025, you can expect even more generational, transformational shifts from Torq as we take our AI-driven, autonomous SOC focus to the next level. You’re going to witness some of the most innovative product and capability unveilings in the history of modern cybersecurity. We’re going to deliver on the promise of true autonomy and introduce SecOps efficiencies and productivity boosters the likes of which you’ve never seen before.

We can’t wait to show you what’s coming up!

AI-Driven Case Management Built for the Modern Security Team

By Torq

January 22, 2025

5 Minute Read

Case management for modern SOCs can be a maze of endless alerts, overwhelming data, and intense pressure. Legacy solutions often exacerbate these issues with rigid workflows, limited automation capabilities, and a lack of real-time adaptability, leaving teams ill-equipped to handle the growing complexity of threats. The volume of cases, manual workflows, and processes leave analysts overwhelmed, exhausted, and struggling to keep pace. Traditional approaches just don’t cut it and leave teams feeling stuck in a constant state of frustration.

Applying Agentic AI to Case Management

Torq HyperSOC is an AI-driven case management solution crafted by industry veterans with decades of experience leading SOC transformations and developing cutting-edge security solutions. With a deep understanding of operational pain points, Torq built a robust platform to address these challenges. By Hyperautomating mundane, time-consuming case management tasks, Torq’s system of AI Agents acts as a reliable team of analysts who never tire.

This AI-driven approach to case management cuts through the noise, prioritizes what truly matters, and speeds up the entire security operations lifecycle so human analysts can redirect their energy toward strategic thinking and complex investigations.

Torq’s Agentic AI, combined with the power of Hyperautomation, turns traditional case management chaos into a coordinated, manageable effort.

Here’s How:

Socrates, the AI SOC Analyst

Socrates, Torq’s AI SOC Analyst, follows your organization’s established runbooks and remediation protocols to orchestrate critical tasks such as endpoint quarantines and account lockdowns. Socrates analyzes historical case data, enriches cases with third-party threat intelligence, and autonomously handles 95% of Tier-1 cases.

For critical cases that do require human-in-the-loop remediation, Socrates coordinates your subject matter experts, escalates cases through the appropriate collaboration channels, and eliminates operational silos to streamline decision-making.

This seamless integration of Agentic AI into the DNA of your case management strategy ensures swift and coordinated responses, so nothing slips through the cracks, like having a trusted colleague who never sleeps and is always ready to jump in and handle the heavy lifting at machine speed.

AI-Generated Case Summaries

With so many incidents to handle, digging through endless lines of raw data can be overwhelming — especially when time is of the essence. Through AI-generated case summaries, Torq’s Case Management Agent distills intricate datasets into concise, actionable insights.

These AI case summaries quickly give analysts the essence of complex incidents without having to sift through mountains of logs, IOCs, and other event data linked to the case. By organizing and contextualizing case details into a consistent structure — i.e., “what”, “when”, “impact”, and “key indicators” — these summaries drastically reduce the time it takes for a human analyst to get caught up and take decisive response action, especially in situations like SOC shift transfers. It’s like having a seasoned mentor beside you, simplifying complicated cases so anyone, from a Tier-1 to a Tier-3 analyst, can make high-impact decisions more quickly and confidently.

Event Ingestion and Correlation

Imagine a security tool that consolidates over 300 data sources. Torq HyperSOC does just that. It gathers massive amounts of information in seconds and synthesizes data from your SIEM, EDR, IAM, and more while creating contextual cases at scale — without impacting the availability or usability of the case management platform.

This intelligent aggregation not only speeds up the discovery of threats but also dynamically updates existing cases as incidents unfold. AI-driven case management prioritizes what matters, filtering out the noise so analysts can focus on pressing issues without being bogged down by irrelevant data.

Achieving Autonomous Case Management

By combining Agentic AI with a powerful Hyperautomation engine, applied to a purpose-built case management platform, Torq HyperSOC automates routine triage and remediation processes with surgical precision.

Consider a simple but common headache of handling phishing responses. Torq’s AI swiftly analyzes suspicious emails, flags malicious links, and employs URL sandboxing to neutralize threats within seconds. Torq also automates account remediation, ensuring that compromised accounts are contained quickly to prevent further damage. By doing so, Torq frees up analysts to concentrate on more complex, high-stakes challenges, reducing manual workload and minimizing fatigue.

What Does AI Case Management Mean for the Future of Security Operations?

Torq’s AI-driven case management capabilities remove security teams from a constant reactive mode. It does so by leveraging historical data and real-time analysis to detect anomalies that might signal trouble ahead. Maybe a sneaky vulnerability is lurking in your network, or a misconfiguration is about to open the door to bad actors — AI can spot these issues instantly, sometimes even before anyone else does.

By embedding AI into every case management stage, Torq HyperSOC transforms security teams’ operations, enabling human analysts to step in only when their experience is truly needed. Tasks that once took days are done in seconds, human errors shrink, and teams can finally breathe a little easier knowing the Autonomous SOC is within their reach.

Curious how this works in action? Schedule a demo and see firsthand how AI case management can speed up SOC operations, reduce stress, and make dealing with cybersecurity threats more manageable.

Contents

Hyperautomation Definition

Automation vs. Hyperautomation

How Hyperautomation Tools Work

The Hyperautomation Advantage

From Automation to Hyperautomation

Hyperautomation Use Cases in Cybersecurity

Hyperautomation with Torq

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SecOps Automation: How Lean Teams Can Achieve Enterprise-Level Security

The AI SOC Analyst That Offloads 90%+ of Tier-1 Cases — Meet Socrates

The Multi-Agent System: A New Era for SecOps

Contents

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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SecOps Automation: How Lean Teams Can Achieve Enterprise-Level Security

The AI SOC Analyst That Offloads 90%+ of Tier-1 Cases — Meet Socrates

The Multi-Agent System: A New Era for SecOps

Contents

The SOC Automation Pyramid of Pain: From Bottom to Top

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

Level 2: Moving Up — Collaborative Case Management

Level 3: Automated Reporting — KPIs and SOC Metrics

Level 4: Basic Automated Response — Point Solution Capabilities

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

Level Up: Security Automation Value Across the Pyramid of Pain

More Autonomy, Less Pain

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SecOps Automation: How Lean Teams Can Achieve Enterprise-Level Security

The AI SOC Analyst That Offloads 90%+ of Tier-1 Cases — Meet Socrates

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Contents

High Octane Culture & Careers

One of America’s Best Startup Employers

A Startup to Bet Your Career On

Related Articles

Torq Announces 300% Revenue Growth and Opens EMEA HQ in London

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

Torq Expands Agentic AI Capabilities With Powerful New Autonomous, Collaborative Multi-Agent Framework For Security Operations

Contents

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

Check Point Speeds Up Their SOC with Torq HyperSOC™

Related Articles

Autonomous SOC

The Dawn of Agentic AI in the SOC

The AI or Die Manifesto

Contents

What is Agentic AI in the SOC?

2 Key Use Cases for Agentic AI in the SOC

1. Agentic AI in Phishing Response

2. Agentic AI in EDR Response

Torq’s Multi-Agent System: Agentic AI in Action

The Agentic AI ‘Wow Factor’ for Security Operations

Considerations for Building Trust in AI in the SOC

AI or Die: Get the Manifesto

Related Articles

SecOps Automation: How Lean Teams Can Achieve Enterprise-Level Security

The AI SOC Analyst That Offloads 90%+ of Tier-1 Cases — Meet Socrates

The Multi-Agent System: A New Era for SecOps

Contents

Advancing Security by Design

What This Means for Our Customers

Multi-factor authentication (MFA)

Default passwords

Reducing entire classes of vulnerability

Security patches

Vulnerability disclosure policy

CVEs

Evidence of intrusions

Looking Ahead

Related Articles

SecOps Automation: How Lean Teams Can Achieve Enterprise-Level Security

The AI SOC Analyst That Offloads 90%+ of Tier-1 Cases — Meet Socrates