AI Hyperautomation Insights Product

The Evolution of Automation and AI for Security Operations

By Bob Boyle
September 23, 2024
8 Minute Read
AI for security operations automating a SOC at machine speed

Contents

In an era where cyber threats are constantly evolving, and security teams are overwhelmed by an ever-expanding flood of alerts, tech sprawl, and an ongoing talent shortage, modernizing the SOC is no longer optional — it’s imperative. AI for security operations offers the speed, intelligence, and resilience that today’s SOCs need to survive.

According to Gartner and IDC, automation and AI for security operations are the keys to unlocking new levels of efficiency, accuracy, and resilience in the fight against cyber threats. Learn how SecOps automation has evolved way (way) past SOAR and how SOC teams are putting agentic AI into action to elevate their teams and achieve machine-speed response times.

From Legacy SOAR to Hyperautomation + AI

  1. Legacy SOAR came — and went. The security operations automation journey began with Security Orchestration, Automation, and Response (SOAR) as the primary automation and orchestration option for SecOps teams. However, as the cybersecurity landscape grew more complex and the volume of threats increased, SOAR’s limitations became glaringly evident. Gartner even went as far as to say “SOAR is Obsolete” in their latest ITSM Hype Cycle (2024), placing SOAR at the bottom of their “Trough of Disillusionment”. 
  1. Hyperautomation unleashed limitless potential. Unlike SOAR, Hyperautomation offered unlimited security integrations, simple-to-build automations, and cloud-native scalability. The incorporation of case management into a Hyperautomation engine helped mitigate alert fatigue by enabling automated remediation of false positives and other low-risk threats while more intelligently prioritizing comprehensive security cases in a meaningful way. 
  1. AI for security operations sped up the SOC. The next evolution of security automation involved leveraging generative AI to augment human expertise, enabling SOC teams to achieve machine-speed detection and response.
  1. Agentic AI takes the wheel: Agentic AI is the next logical evolution of AI for security operations, delivering autonomous decision-making capabilities that can reason, plan, and execute goals without constant human supervision. It’s the brain behind the autonomous SOC, freeing up analysts to do the strategic work. IDC’s report highlights that agentic AI can solve problems, adapt to its environment, and make complex decisions without human intervention. This shift moves SOCs from human-in-the-loop to human-on-the-loop supervision.

The modern SOC has arrived. As Gartner recently highlighted, to overcome the existential challenges that continue to plague SOC teams, security operations must continue to adapt. This brings us to the future of SecOps, where the gold standard for the modern SOC is a purpose-built combination of Hyperautomation and agentic AI to achieve the autonomous SOC.

Benefits of Adopting Automation and AI for Security Operations 

AI for security operations is critical not just for efficiency but for survival. It’s about alleviating the pressure on SOC teams, helping to avoid burnout and reducing the four million+ talent shortage gap that exists in the cybersecurity industry today. 

Gartner predicts that “by 2028, AI in threat detection and incident response will rise from 5% to 70%, primarily augmenting — not replacing — human analysts.”

As Gartner highlights, while the growth of AI continues to expand, its primary aim should be to augment the existing staff operating the SOC, not replace them entirely. This is good to keep in mind, as many organizations are hesitant to fully entrust AI with their security operations. However, with the rise of AI used in targeted attack campaigns, most organizations do recognize that it is near impossible for humans alone to keep pace with today’s quantity and complexity of threats.

When implementing AI for security operations, the most successful benchmarks to strive for are: 

  • Eliminating alert fatigue
  • Improving SOC analyst morale
  • Getting time back to focus on critical threats
  • Mitigating threats more quickly and efficiently
  • Increasing the accuracy of results

The benefits of automation and AI for security operations are not in removing human decision-making altogether but rather in upskilling the most junior SOC analysts while preventing the most experienced analysts from burning out in their role. 

To fully realize the potential of AI for security operations, organizations need a solution that combines context awareness and autonomous action. That solution is Socrates.

Introducing Socrates: Your AI SOC Analyst

Torq Socrates is our AI SOC Analyst capable of deep research, planning, and autonomous execution of end-to-end security case management. Socrates acts as an OmniAgent, coordinating multiple specialized AI Agents for contextual alert triage, incident investigation, and auto-remediation of Tier-1 tasks. 

For critical threats, Socrates augments your team’s expertise — enabling them to take action faster thanks to natural-language, human-AI collaboration.

There are two primary ways SOC teams are using Socrates to handle security cases today:

  1. Assigning cases to Socrates for end-to-end autonomous remediation
  2. Faster human-on-the-loop remediation with AI augmentation

1. Autonomous Remediation

First, SOC teams can assign specific cases to Socrates for auto-remediation without requiring any human intervention. 

In traditional analyst remediation, when a case is assigned, the analyst typically consults a runbook to guide them through the response required to contain the specific event (or events) that appear within the case. 

From start to finish, the triage, investigation, and remediation of a single case can take a human analyst 30 minutes or more, depending on the experience level of the analyst. In larger enterprises, there may even be multiple analysts with varying responsibilities involved in the lifecycle of a case — one for the initial triage, one for the Tier-2 investigation, and another for the incident response.

Socrates follows the same runbook planning and execution process but instead leverages a team of AI agents to craft, plan, and execute highly customized incident response strategies — at machine speed. Socrates’ leverages agentic AI to analyze SOC-defined runbooks written in natural language, learn from past outcomes, identify attack patterns, and continuously refine response plans to adapt to new threat vectors —  resulting in complete auto-remediation of 95% of cases in mere minutes.    

For cases that increase in severity based on Socrates’ agentic investigation or as new case data is added, raising the threat to a critical level, SOC teams can build off-ramps into each runbook that tell Socrates when to escalate cases to a human analyst for intervention.

2. Faster Human-on-the-Loop Remediation

Which brings us to the second use case: leveraging Socrates to help SOC teams investigate and take action on the cases that do require human decision making — faster. 

Analysts who are assigned critical cases for human-guided remediation can take advantage of Torq’s Multi-Agent System (MAS) by using natural language to chat with Socrates and ask for: 

  • AI-generated case summaries: Faster access to real-time and historical case observables, attachments, associated indicators of compromise (IOCs), or current case status enables streamlined decision-making by eliminating irrelevant noise.
  • Deep research investigations: Enrich cases by uncovering hidden attack patterns across diverse data sources and third-party threat intelligence to help precisely assess the threat impact and improve strategic threat prioritization.
  • Agentic AI-augmented remediation: Take action across the security stack using AI agents to trigger complex remediation workflows through Torq’s Hyperautomation platform, significantly reducing the amount of time from case assignment to case resolution.  

With Socrates, even a brand new analyst who hasn’t been trained on how to leverage the full functionality of every security solution in their stack can easily ask Socrates to deploy AI agents that can quickly quarantine devices, isolate hosts, or kick off a password reset — without the risk of human error. 

In its simplest form, Socrates was built to do what Torq has set out to do from the very beginning: Hyperautomate SecOps. By coordinating a team of AI agents, Socrates can automate the most repetitive tasks and reduce Tier-1 triage and investigation by 90% — helping humans respond to threats faster.

Embracing Hyperautomation and AI for Security Operations 

In an era where cyber threats are constantly evolving, the modernization of the SOC is no longer optional — it’s imperative. The inclusion of AI for security operations — like Torq Socrates — marks a pivotal shift in how SOC teams can combat alert fatigue, tech sprawl, and talent shortage. 

By integrating Hyperautomation and AI, Torq HyperSOC exemplifies how AI for security operations drives faster detection, smarter decisions, and machine-speed remediation, achieving:

  • Up to 90% reduction in investigation times
  • 3-5x increase in SOC alert capacity without additional headcount
  • Autonomous remediation of over 95% of security threats

AI for security operations lets teams regain significant amounts of time, allowing human analysts to focus on more strategic tasks while maintaining control over critical operations. The future of the SOC lies in this harmonious blend of human expertise and intelligent automation, setting a new standard for operational efficiency in security operations.

Want to learn more about the SOC’s evolution from automation to autonomy? IDC’s Spotlight Report explores why agentic AI for security operations is the next leap in the autonomous SOC. 

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The Future of Automated Threat Intelligence: 6 Enrichment Use Cases

By Torq
September 20, 2024
7 Minute Read

Contents

Cyber threats move fast — your threat intelligence should move faster. But most SOC teams spend more time drowning in false positives and manually correlating threat data than actually responding to real threats.

Automated threat intelligence changes this. With AI-driven automated intelligence, security teams can instantly collect, analyze, and act without sifting through endless alerts and indicators of compromise (IOCs). This shift from playing catch-up to a proactive, automated defense is critical to outpace attackers.

What is Automated Threat Intelligence?

Threat intelligence is the evidence-based collection of information and the observation of the capabilities, techniques, motives, goals, and targets of an existing threat. Simply put, it’s everything that you know about an attacker — actual or potential — based on their motives and how badly they can damage your business assets.

Threat intelligence is not a checklist. It’s a cycle of well-defined processes and operations that involves collecting raw data, cleaning and normalizing it into actionable observables, comparing it to current data to remove duplicates, and then storing it in a structured, human-readable format. That’s a lot of work.

And here’s the reality: SOCs are flooded with data — OSINT feeds, commercial intelligence, SIEM alerts, and internal security logs. Sorting through this manually is incredibly inefficient. Meanwhile, threat actors are evolving, moving faster, and becoming more evasive.

This is where security automation comes in. Instead of relying on analysts to manually collect, correlate, and respond to intelligence data, automated threat intelligence streamlines and enriches alerts, automatically prioritizes threats, and triggers incident response.

The Importance of Automated Threat Intelligence in the SOC

Threat intelligence is the backbone of a SOC, setting apart reactive teams from proactive ones. Here’s why it matters:

  • Automated threat intelligence adds important context to threats so teams know what they see.
  • It identifies attackers’ tactics, techniques, and procedures (TTPs), giving insight into how threat actors operate.
  • Intelligence can enable faster and smarter decision-making, reducing response time and preventing data loss.
  • By increasing efficiency, automated intelligence makes it easier to demonstrate ROI and value.

What is Threat Intelligence Enrichment?

Threat intelligence enrichment is the process of adding context to raw security threat data in order to better understand the threat. 

Imagine this scenario: You detect a wave of port scans against your servers. You know the IP addresses of the hosts from which the port scans originated, but you don’t know much more than this.

With threat intelligence enrichment, you could immediately gain insights like: 

  • Where the scanning servers are located
  • The operating systems and infrastructure they’re using
  • Whether the IPs are linked to known botnets, advanced attackers, or recent global threats
  • If these specific scans have been flagged in association with malware campaigns targeting similar organizations

With this enriched intelligence, your SOC can respond with precision and accuracy, blocking known malicious IPs, strengthening defenses against relevant attack vectors, and prioritizing investigations based on risk level. 

Of course, you can manage your threat intelligence data manually by correlating and comparing it. That approach, however, is not practical at scale. So, that begs the next question: How can we automate threat intelligence enrichment?

6 Ways to Automate Threat Intelligence Enrichment

1. Enrich Alerts Across Multiple Sources

Security teams need to correlate data from OSINT, intelligence feeds, internal logs, and SIEMs — but they’re stuck manually sifting through inconsistent, raw data. This delays investigations and allows threats to slip through.

Torq Hyperautomation™ automatically collects and correlates threat intelligence across all sources, filtering out false positives and providing actionable insights. Torq ingests, correlates, and enriches raw threat intel in real time, prioritizing alerts that actually matter.

Key Benefits For Alert Enrichment
Reduces the risk of false positives and false negatives in threat detectionAutomates the process of collecting and analyzing dataPrioritizes alerts, provides contextual information, and recommends response actionsQuickly and efficiently make informed decisions, reducing the response time to potential threats

2. Automate EDR, XDR, and SIEM Alerts

Manually managing alerts from EDRs, XDRs, and SIEMs can be challenging when dealing with large amounts of data. A Hyperautomation platform integrates across EDR, XDR, and SIEM platforms, automating alert handling and prioritization. It triages, enriches, and remediates alerts in real time, slashing MTTR and freeing up analysts to focus on real threats.

With Torq Hyperautomation, when an EDR alert flags a malicious file, Torq automatically quarantines, blocks the source, and launches an impact assessment. Torq is the connective tissue between these technologies, eliminating silos and enhancing data sharing.

Key Benefits For Alert Automation
Automates the process of collecting and correlating data from multiple technology sourcesRapidly identifies and responds to potential security threatsFrees up analysts to focus on critical tasks and work on strategic initiativesReduces response times, minimizing the impact of potential security incidents

3. Streamline Team-Based Threat Hunting

Threat hunting is the proactive search for threats that may have evaded detection by traditional security technologies. This process requires highly skilled analysts to investigate, but it is also a time-consuming and resource-intensive process. A Hyperautomation platform can centralize all the data, streamline the data correlation, and facilitate collaborative and automated threat hunts, reducing investigation times.

Torq’s AI-powered threat hunting assists SOC analysts by proactively analyzing high-velocity and high-volume data sets from multiple sources. It’s able to identify patterns, analogies, and IOCs that otherwise would have gone unnoticed.

Key Benefits For Threat Hunting
Automates the process of sharing information and delegating tasksProvides workflows to facilitate collaboration between multiple teams in threat huntingImproves the efficiency and effectiveness of threat hunting capabilitiesIdentifies and responds to potential threats more quickly and accurately

4. Align Processes

Disconnected security processes create inefficiencies, gaps, and compliance risks. Hyperautomation aligns security processes across teams and tools, ensuring every security event follows a standardized, automated workflow. 

For example, if a SIEM alert flags a compromised user account, Torq Hyperautomation automatically pulls identity and access logs, verifies behavioral anomalies, and notifies the security team with recommended actions.

Key Benefits For Process and Procedure Alignment
Standardizes security processes and proceduresEnsures all security workflows are repeatable and consistently applied across the organizationEnhances visibility into potential threats allowing organizations to proactively address concernIdentifies and responds to potential threats more quickly and effectively

5. Trigger Workflows Across Disparate Infrastructures

Security teams cannot manually manage the sheer volume and velocity of security data generated by different security technologies. They need a better way to identify and respond to threats. Hyperautomation can integrate EDR, SIEM, email security, cloud security, MDM, and endpoint security, plus more, allowing organizations to trigger cross-platform security actions.

When an incident is triggered in a workflow, Torq Hyperautomation can launch containment workflows and notify stakeholders.

Key Benefits For Workflow Triggering
Extracts maximum value from existing investments by integrating disparate security technologiesAutomates security workflows across the entire security tools stack


Collects and analyzes large volumes of data at scale to reduce noise


Responds to potential threats more quickly and accurately, reducing the MTTR


6. Minimize Manual Response Dependencies

Security incidents need instant response, but human remediation is too slow. The longer it takes to contain an attack, the more damage is done. Hyperautomation can speed up the entire response process, reducing manual effort and slashing MTTR. 

If an endpoint security tool flags a malicious file, Torq Hyperautomation instantly isolates the device, blocks the attack vector, and launches an automated investigation.

Key Benefits For Minimizing Manual Response Dependencies
Automates the coordination of incident response activities across different teams and technologiesResponds to threats with minimal manual human dependencies, helping improve and scale incident response capabilities
Assists with centralizing the coordination and multi-team collaboration to minimize the risk of errors and miscommunications
Provides workflows to help organizations respond to security incidents more efficiently, quickly, and accurately

The Role of AI in Threat Intelligence

AI plays a pivotal role in threat intelligence automation. It rapidly analyzes massive volumes of data to detect patterns, anomalies, and indicators of compromise that human analysts might miss. 

This dramatically improves detection accuracy, speeds up response, and helps organizations stay ahead of increasingly sophisticated attackers. In short, AI in threat intelligence turns reactive security into proactive, predictive defense.

Ready to automate your threat intelligence operations with AI-driven Hyperautomation? See how Torq can help.

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Build Security Workflows in Seconds with AI Workflow Builder

By Brian Higgins
September 19, 2024
3 Minute Read

In today’s fast-moving threat landscape, Hyperautomation is essential. But building workflows from scratch? That’s time you don’t have. That’s why we started with a library of pre-built templates, helping teams quickly configure security automation workflows. Templates made automation more accessible. Now, we’re taking the next step in that evolution and introducing Torq’s AI Workflow Builder.

By harnessing the power of AI, we’re going beyond templates. Now, in addition to the library of pre-built workflows, you can simply describe what you need, and Torq will generate a workflow tailored for you in seconds. No code, no limits — just fast, flexible automation that meets your unique security requirements.

Evolving from Templates to AI-Powered Workflows

The days of spending hours manually building workflow from scratch are over. Security teams need agility, but building automation workflows step-by-step slows you down. Templates provide a fast way to get started by selecting from pre-configured workflows. However, we recognize that templates have limitations and can sometimes call for resources the team doesn’t have. They require adaptation and configuration and sometimes fail to fully capture the specific needs of each security team.

You already know the events and actions for your team —  let AI Workflow Builder take care of the rest. AI Workflow Builder is a natural language agent that leverages Torq’s 4,000+ out-of-the-box actions and 300+ integrations and enables you to implement faster than ever before. Allowing you to focus on the bigger picture: securing your organization.

With AI Workflow Builder, simply:

  1. Describe your workflow: Provide bullet points describing your desired actions.
  2. Get instant results: Torq’s AI instantly generates a workflow preview tailored to your needs.
  3. Customize with ease: You remain in full control, with the flexibility to adjust, fine-tune, and add configurations as needed.


As Gartner highlighted in their 2024 Hype Cycle, the industry has evolved beyond traditional SOAR platforms. As the autonomous SOC emerges, Torq is setting a new standard with Hyperautomation — one that prioritizes speed, efficiency, and security.

AI Builder In Action: Instant IP Threat Detection

As an example, you might need to check an IP address or a range of IP addresses using VirusTotal and take action if they’re flagged. Simply prompt the AI Workflow Builder with natural language to describe what you need:

“Check IP address 8.8.8.8 with VirusTotal, and if it’s flagged as malicious more than 3 times then do the following:

  1. Create a Torq case with High severity 
  2. Send a notification to #alerts in Slack.”

Seconds later, Torq’s AI Workflow Builder generates a fully functioning workflow ready for review. You can tweak anything — from setting custom thresholds to fine-tuning case details and personalizing Slack alerts. AI handles the grunt work, but you stay in control.

Get Started with AI Workflow Builder

Whether you’re a beginner or an automation expert, Torq’s AI Workflow Builder simplifies creating powerful, secure workflows. With 4,000+ out-of-the-box actions, 300+ integrations, and 325+ million workflows executed annually, Torq has the speed, flexibility, and scale to meet modern security needs.

Schedule a demo today and discover how powerful and easy Hyperautomation can be with Torq.

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Security Automation Explained — and Why It’s Essential for Modern SOCs

By Torq
September 17, 2024
9 Minute Read

Contents

Security teams are drowning — managing 10,000+ daily alerts, stretched thin by an ongoing cybersecurity talent shortage, and struggling to keep up with evolving threats. The solution? Security automation, particularly AI-driven security Hyperautomation.

What is Security Automation?

Security automation leverages automated workflows to handle critical cybersecurity tasks at machine speed— eliminating time-consuming manual processes like threat detection, analysis, and response. By automating these repetitive tasks, organizations can increase efficiency and accuracy and ensure a consistent security posture against threats.

The gold standard of security automation is AI-driven Hyperautomation, enabling security teams to move beyond simple automation and build an autonomous SOC for even greater efficiency and security gains.

Cybersecurity is essential to every organization — but without automation, it’s slow, resource-intensive, and prone to human error. Manual workflows bog down security teams, stretching time and resources thin while leaving gaps in threat detection, assessment, and remediation. Automating security not only accelerates response times but also ensures accuracy, eliminating costly mistakes and inefficiencies.

Cybersecurity automation uses technology to identify, understand, and respond to threats within your organization’s environments and to execute repetitive and time-consuming tasks. In other words, when you automate security, much of the grunt work can be handled by software, with limited, if any, manual intervention. This is especially useful when dealing with a high volume of alerts, allowing the software to filter out the low-priority and false positives threats and prioritize the critical ones, escalating to human analysts only when necessary. 

Why is Security Automation Necessary? 

Large organizations, from Fortune 500 companies to global multinationals, face existential security challenges that demand security automation solutions, including:

  • Expanding attack surface: Security teams face alerts on alerts on alerts, from phishing and endpoint vulnerabilities to insider threats and fraud. Without automation to filter, prioritize, and respond to these threats at machine speed, teams simply can’t keep up.
  • Global cybersecurity talent shortage: According to ISC2, the estimated cybersecurity workforce gap is 4.76 million. SOC teams are stretched thin, and this problem is only getting worse. As tech stacks expand across multi-cloud environments, security teams’ capability to manage them is maxed out. Cloud security automation isn’t replacing analysts — it’s making their jobs possible.
  • Siloed security architecture: SecOps teams manage 70+ security tools across environments. Without integrations to combine these workflows, security teams face misaligned processes, inefficient work, and manual effort that slow down response times.

“60% of line of business users agree an inability to connect systems, apps and data hinders automation.” – ZDNET

How Security Automation Benefits Teams

  • Enhanced Efficiency: Cybersecurity automation eliminates repetitive tasks like data analysis and incident investigation. By streamlining workflows, security teams can dramatically reduce time-consuming processes, improve mean-time-to-respond (MTTR), and alleviate operational fatigue — boosting productivity, agility, and overall security resilience.
  • More Accurate Response: Manual processes run the risk of human error. Security automation minimizes this risk by implementing consistent detection and quicker responses. It also shortens the time-to-action for remediation, preventing further risks to the business.
  • Reduced Analyst Burnout: By automating time-consuming manual processes, security automation lightens workloads and prevents the constant alert fatigue that drains security teams. Automation frees up time for analysts to develop their expertise instead of getting bogged down in repetitive, busy work.
  • Scalability: Automation in security centralizes tooling, enriches security cases with contextual intelligence, and provides real-time updates across platforms for seamless teamwork.
  • Reduced costs: Automation can help optimize resources and operational expenses by eliminating manual tasks, streamlining workflows, reducing the need for specialized staff, and improving resource allocation. It can also help avoid data loss, reputational damage, and other financial losses from security incidents.
  • Stronger compliance: Leveraging security automation tools to manage reporting and compliance activities decreases regulatory risk.

Security Automation vs. Security Orchestration and SOAR

Many assume security automation and orchestration are synonymous, but there are many important differences between the two. 

Security orchestration was intended to create a more streamlined workflow when connecting multiple tools and processes for security teams to act with greater efficiency and confidence. With SOAR, we all know this didn’t happen. 

SOAR platforms are slow, rigid, and don’t actually speed up processes for SOC teams. With limited integrations, outdated technology, and running on a single server, legacy SOAR hinders security teams’ ability to detect and respond to threats across environments — in fact, Gartner called SOAR an ‘obsolete’ technology that is being replaced by security workflow automation.

Security workflow automation brings together different teams, processes, and technologies to drive more efficient and scalable operations across a much broader scope. It does this through no-code, low-code, and even AI-generated workflow building, meaning that these tools can be used by just about anyone, not just security engineers, to define risks, enforce security rules, and remediate threats.

SOAR was built to automate security processes, but it’s slow, complex, and requires extensive coding. Security Hyperautomation is the next evolution, eliminating inefficiencies with AI and no-code workflow automation. Here’s how they compare:

Security Hyperautomation vs SOAR

Security HyperautomationSOAR
Architecture✔ Cloud-native architecture, elastic scalingX Monolithic architecture, limited scaling
Integrations✔ Limitless, extensible, continuous API updatesX Limited, inflexible, requires custom dev
Efficiency✔ Helps manage risks at scale without adding headcount or requiring specialized resourcesX Requires extensive resources and constant maintenance
Accessibility✔ Allows all stakeholders to define and enforce security requirements X Requires cybersecurity expertise to configure and operate
Automated Response✔ No-code automation frameworks can automate threat response based on rulesX Focuses more on orchestrating responses by security professionals than remediating 
AI Capabilities✔ Built-in AI agents for autonomous remediation, workflow building, data transformation, and moreX Limited or non-existent
Analyst Productivity✔ High, 10x+ operational boostX Low, prone to burnout
Overall Effectiveness✔ Future-proof solution, providing comprehensive security coverage and automationX Limited flexibility, struggles to meet modern SecOps demands

Ready to pull the plug on your SOAR? Get the migration guide >

How to Pick the Right Security Automation Tool

Choosing the right security automation solution isn’t just about checking a box — it’s about finding a platform that seamlessly integrates with your existing security stack, scales with your needs, and actually delivers on the promise of efficiency and protection. Here’s what to consider:

1. Integration and Compatibility

An enterprise security automation platform is only as good as its ability to integrate with your existing tools. Look for a solution that offers out-of-the-box integrations with all of your key security and IT infrastructure, as well as the flexibility to build custom integrations without requiring extensive coding. The best platforms eliminate manual bottlenecks by enabling security teams to connect their entire stack effortlessly — without waiting on vendor updates or custom development work.

2. True No-Code vs. Customization Capabilities

Some solutions claim to be “no-code” but still require extensive scripting to handle real-world security scenarios. Choose a platform that provides both no-code simplicity and AI-generated workflow building. You shouldn’t have to choose between ease of use and flexibility. A well-designed security automation tool allows security professionals of all skill levels to build workflows while still enabling advanced users to fine-tune automations for complex use cases.

3. AI-Driven Decision Making

Cybersecurity automation has evolved beyond simple if-this-then-that workflows. Modern solutions, like agentic AI-powered automation, don’t just execute pre-defined rules — they can analyze threats in real time, correlate signals across multiple tools, and autonomously remediate low-risk incidents. When evaluating platforms, look for AI-driven insights and contextual automation that help security teams make smarter, faster decisions.

4. Speed and Scalability

At this stage, you should evaluate potential security automation solutions with a Proof of Concept (POC), focusing on ROI and time-to-value. Choose the use cases that are mission-critical to your organization to assess how quickly and easily they can be operational. Additionally, ensure the platform can scale with your needs — handling increasing volumes of security events without performance degradation or the need for constant tuning.

5. Vendor Vision

Security threats evolve daily, and your security automation solution should grow with them. Choose a vendor with a clear vision for innovation — one that’s actively incorporating AI, Hyperautomation, and advanced case management capabilities. The best platforms don’t just keep up with security trends — they redefine them.

Case Study: Major Regional Bank Accelerates Phishing and Ransomware with Security Automation

A leading regional financial services organization turned to Torq for security automation to eliminate slow, inconsistent security responses and automate critical processes across its SOC. Facing a growing volume of phishing, ransomware, and fraud threats — along with a shortage of security analysts — the bank needed a solution that could streamline alert triage, investigation, and remediation in real time. 

Bypassing legacy SOAR solutions, this top 30 bank found the Torq Hyperautomation platform to be the best fit. By deploying Torq’s low-code/no-code security automation, the bank built and launched 100+ workflows in just three months, reducing mean time to investigate (MTTI) from hours to minutes. Torq’s limitless API integrations easily integrated with the bank’s existing security stack, allowing for a unified, automated approach to phishing and ransomware mitigation. 

The Future of Security Automation: Torq Hyperautomation and the Autonomous SOC

Security automation is an important step in modernizing cybersecurity, eliminating manual processes, and accelerating threat response. But the story doesn’t end there. 

The evolution of security automation and AI for security operations.
Explore the evolution of security automation and AI for security operations >

Security Hyperautomation enables SecOps to operate on a new scale thanks to AI-driven decision-making, adaptive workflows, and full-stack interoperability. This shift is powering a natural evolution toward the autonomous SOC, where AI doesn’t just automate security processes but also intelligently manages and optimizes them in real time.

Unlike traditional security automation, which focuses on predefined rule-based responses, Torq Hyperautomation dynamically connects disparate tools, enriches alerts with real-time intelligence, and autonomously executes remediation — all without manual intervention. It integrates AI and large language models (LLMs) to instantly correlate signals across multiple sources, filter false positives, and prioritize critical threats.

Where security automation removes friction, Hyperautomation eliminates inefficiencies entirely — allowing organizations to move from reactive to proactive, self-sustaining security operations. Agentic AI-powered automation can investigate, escalate, and remediate threats autonomously, closing security gaps faster than ever. AI-powered Hyperautomation doesn’t just improve security workflows — it redefines how modern SOC teams operate.

Want to see how AI-powered security Hyperautomation can transform your SOC?

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What’s New With Torq: September 2024

By Torq
September 6, 2024
4 Minute Read

Contents

The Team at Torq is pushing the boundaries of what’s possible in security automation, and we’re excited to share several new capabilities designed to make security analysts’ lives easier and more efficient:

Introducing AI Case Summaries

Torq AI Case Summaries leverages the power of artificial intelligence to streamline and accelerate your security operations. Imagine this: instead of manually reviewing pages of logs and incident details, your team is presented with a concise, insightful summary of each case automatically generated by Torq.

Here’s how it works:

  • AI-Powered Summarization: Torq AI Case Summary analyzes all the relevant data points associated with a security alert, including logs, threat intelligence feeds, and historical incident data.
  • Instant Insights: Our advanced AI algorithms identify the most critical information and present it in a clear, easy-to-understand summary, highlighting the potential impact and recommended actions.
  • Faster Response Times: Armed with these AI-driven insights, your team can quickly understand the nature of the threat, prioritize incidents effectively, and take decisive action to mitigate risks.

Torq AI Case Summary enables your security team to operate at peak performance. By automating the tedious task of case summarization, AI Case Summary frees up analysts to focus on what matters most: investigating complex threats, hunting for vulnerabilities, and proactively strengthening your security posture.

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Simplify Form Building with Torq Interact

Need a department head to approve a suspicious travel request? Or perhaps you need a marketing manager to verify the legitimacy of a social media file? Torq Interact empowers security teams to automate approvals and data collection tasks with teams outside the security organization, ensuring a swift and coordinated response to security events.

As customers use Torq Interact to streamline both security team processes and end-user engagement, we continue to find new ways to improve the Interact experience. As of today, four new fields have been added to Torq Interact: 

  1. Date & Time Parameter: End users can easily select specific dates and times within interactions. For example, they can pinpoint the exact date of a thwarted phishing attempt.
  2. Enhanced File Parameter: Users can now upload multiple files simultaneously rather than one at a time. This simplifies the user experience, especially when dealing with unpredictable files. 
  3. Download File Parameter: Now, Torq users can leverage Interact to send files directly to end users for download, either directly or through workflow context. Analysts might be looking for a secure way to send a potentially malicious file to another team member so they can execute it in a sandbox for further investigation. 
  4. Secondary Button: This enables Interact users to add flexibility to their workflows with a secondary button that allows users to submit forms without filling in all required fields, perfect for adapting to various interaction scenarios.
  5. Conditional Elements: The conditional element introduces an advanced logic conditional element to enhance the end-user experience by dynamically presenting questions or information based on live responses, increasing the accuracy of every interaction.

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Enhanced Data Records with Torq Tables

Security teams are drowning in data. Every tool in your stack generates logs, alerts, and reports. But making sense of it all? That’s where things get messy. Spreadsheets buckle under the weight of hundreds, thousands, millions of rows. Custom dashboards require coding expertise and constant maintenance. You need a way to wrangle your data, not be ruled by it.

Torq Tables is a powerful, flexible way to interact with all your security data, directly within the Torq platform.

Torq Tables Enable You To:

  • Centralize your data: Pull in data from any source – NIST, SIEM, EDR, cloud platforms, and more – into a single, unified view—no jumping between tools and screens.
  • Investigate with speed and precision: Filter, sort, and analyze a significant amount of data in real-time. Uncover hidden threats and patterns that would otherwise remain buried.
  • Automate with ease: Trigger workflows directly from data in tables, responding to threats and anomalies at machine speed.

Torq Tables is now available for all Torq users. Log in to your Torq instance to get started, or schedule a demo.

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Monitor and Manage Workspaces with Organization Management

Organization Management introduces a new single pane of glass view, simplifying the process for Torq users to monitor usage across multiple workspaces and perform org-level administrative tasks. Additionally, we’ve introduced a new Organization Manager role to grant appropriate stakeholders org-level access while adhering to a least-privilege access approach. 

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We’re excited to see what security teams will accomplish with these new capabilities. Keep an eye out for future updates as we push the boundaries of security automation!

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Hyperautomation Use Cases

A Blueprint for Hyperautomating Your Next-Gen Secure Software Development Lifecycle (SDLC)

By Aner Izraeli
August 26, 2024
5 Minute Read
SDLC automation architecture and blueprint at Torq

Contents

Aner Izraeli is the Chief Information Security Officer (CISO) at Torq. He leads Torq’s cybersecurity strategy with a focus on innovation and resilience. Aner’s career spans over two decades in the cybersecurity field, where he has consistently demonstrated expertise in SIEM/SOC, incident response, and network security. 

At Torq, we’re all about pushing boundaries and driving innovation. But we can’t afford to treat security as an afterthought in our relentless pursuit of speed and creativity. As a lean and agile team, we’re constantly challenged to stay ahead of emerging threats without slowing down our momentum.

In this blog, I break down how we Hyperautomated our software development lifecycle (SDLC) to improve security coverage, reduce friction, and keep our R&D teams shipping fast.

The SDLC Challenge: Balancing Speed and Security

Our software engineering teams manage various components and microservices, each with unique functionalities requiring meticulous threat modeling and vulnerability assessments. Modern software engineering integrates open-source and proprietary libraries, introducing potential security vulnerabilities in individual and shared components across teams.

The primary challenge is ensuring these vulnerabilities are continuously identified and mitigated before they compromise the production environment. Simultaneously, it’s crucial to maintain an environment where teams can continue to innovate and deliver high-quality software without being hindered by security concerns. 

In short, how do we ensure that potential application security vulnerabilities are identified and resolved before they threaten our production environment while empowering our teams to innovate and deliver high-quality software? That’s where SDLC automation and security Hyperautomation come in.

Building Our SDLC Automation Architecture

Our solution started with integrating an Application Security Posture Management (ASPM) platform, which provided complete control over our supply chain and SDLC. This visibility extends across open-source packages, Dockerfile dependencies, and container images — everything from the far-right side of the SDLC. But visibility alone can be overwhelming. 

We needed to take it further by leveraging Torq’s Hyperautomation capabilities. Hyperautomation enabled us to combine no-code workflows, AI-driven orchestration, and system-wide integrations into a single, scalable SDLC framework.

Here’s how our SDLC automation stack works in the context of our Application Security events pipeline:

SDLC automation architecture and blueprint at Torq

Inside Our Hyperautomated SDLC Pipeline

My vision was simple but ambitious: create a seamless, automated SDLC pipeline that transforms how we manage vulnerabilities. Here’s how we did it:

I used Torq’s workflows to categorize and aggregate issues, while centralized case management simplifies investigations for R&D teams. Automation facilitates generating Jira tickets, pull requests, and Slack notifications, keeping teams aligned with daily SLA reminders. This ensures our teams can focus on what matters most — innovation without compromise. 

Below is an illustration of what that automated SDLC flow looks like:

Visual flowchart showing Torq’s SDLC automation process

The SDLC Automation Implementation In Action

When the ASPM flags a new issue, Torq automatically creates a centralized case grouped by severity and category for that specific repository — eliminating duplicate tickets and reducing noise.

Diagram showing Torq case aggregating security issues by severity and category within a repository to streamline R&D workflows.

The case includes a detailed table with affected packages, suggested upgrades, a risk verdict, and direct links to GitHub and ASPM findings.

If action is needed, R&D can trigger a predefined workflow with one click, auto-generating a Jira ticket, a pull request, and a Slack notification, all while staying aligned with SLA requirements.

Table view of ASPM issues in Torq with quick actions to create Jira tickets, PRs, and Slack alerts for SLA-compliant remediation.
Torq interface showing direct PR links and automated change management for SDLC updates by R&D teams.

With enriched data and automated context in hand, our dev teams can patch vulnerabilities quickly. Each remediation follows Torq’s change management and SDLC policies, flowing through peer review and automated deployment like any standard feature or update.

SDLC automation workflow showing peer review and automated deployment of security fixes through Torq’s change management process.

SLA Compliance Made Simple

Automated workflow in Torq tracking SLA deadlines

In line with Torq’s policy, every issue is assigned a severity-based SLA. To ensure timely resolution, a daily automated workflow reviews open cases and notifies each R&D team of their remaining time to address these issues. SDLC automation keeps teams on track, ensuring vulnerabilities are managed effectively without disrupting ongoing development.

That’s the power of SDLC Hyperautomation: fast and repeatable.

When To Implement SDLC Hyperautomation 

Achieving fully automated vulnerability management may sound like an ambitious goal, but it’s essential for the velocity of modern security operations. Within Torq, we strive for a seamless process from detection to merge. Successful SDLC Hyperautomation can become possible when:

  • The vulnerability management program is mature and well-established
  • There are consistent, repeatable actions required for product or software updates
  • The SDLC includes a robust testing process, acting as a safety net to catch any oversights during automation

The Business Impact of SDLC Automation

The result of our efforts was a fully automated vulnerability management process that has revolutionized our approach to AppSec. We’ve slashed remediation times, improved SLA adherence, and empowered our R&D teams to deliver secure, high-quality software faster than ever. Here was the quantitative impact:R&D teams to deliver secure, high-quality software faster than ever. Here was the quantitative impact:

Ready to Hyperautomate your AppSec approach? Torq can help you build SDLC automation workflows that scale, simplify security, and eliminate busy work.

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AI Hyperautomation Insights

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

By Torq
August 20, 2024
7 Minute Read
Automated incident response powered by agentic AI

Contents

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

This is where incident response automation comes in. Powered by AI-driven security automation, it allows SOC teams to detect, prioritize, and neutralize threats faster than ever — often before users even know an issue exists.

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. It empowers analysts by offloading repetitive, routine tasks, 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.

Incident Response Automation Defined

Incident response automation utilizes AI-driven workflows and technology to detect, investigate, contain, and remediate security threats without requiring manual human intervention. It replaces slow, error-prone manual processes with real-time, consistent, and scalable actions, dramatically reducing MTTD and MTTR.

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.

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 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:

  • Rapid response: Significantly reduced MTTD and MTTR
  • Improved accuracy: Elimination of manual errors through standardized workflows
  • Reduced alert fatigue: Intelligent prioritization and handling of alerts
  • Cost efficiency: Optimized resource allocation and lowers operational costs
  • Enhanced compliance: Documentation and consistent actions facilitate regulatory compliance

Examples of Incident Response Automation

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, reaches out to 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. For each threat, Torq extracts relevant file signatures 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 OmniAgent, 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 that comes with it.

See how to generate a Torq workflow in seconds to automate incident response.

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Insights

No-Code Security Automation vs. SOAR Tools

By Torq
August 13, 2024
4 Minute Read
Learn how no-code security automation software stacks up to SOAR tools and AI-driven Hyperautomation.

SOC teams have been on the hunt for ages for a way to automate manual, repetitive tasks and workflows. SOAR was intended to streamline security workflows — however, legacy SOAR tools have long since been called “obsolete” by Gartner due to their reliance on excessive customization and scripting. 

That’s why legacy SOAR is being abandoned by SecOps teams in favor of no-code security automation solutions, particularly the new gold standard for today’s modern SOC operations — AI-driven Hyperautomation and the autonomous SOC. 

Let’s break down how these security automation software solutions compare.

What are SOAR Tools?

Legacy Security Orchestration, Automation, and Response (SOAR) tools were designed to help security teams centralize and automate security operations through playbooks. SOARs were developed to solve many of the problems associated with security incident and event management (SIEM) platforms, the old standby tool for security engineers.

However, SOAR tools suffer from limitations such as rigid architecture and a heavy reliance on custom scripting and coding, hindering their ability to integrate with the modern security stack and adapt to evolving security needs.

Learn why SOAR is dead >

What is No-Code Security Automation?

No-code security automation refers to tools that anyone — not just security engineers with coding expertise — can use to build and deploy automated security workflows that define risks, enforce security rules, and remediate threats automatically. 

By using a codeless approach to security (think drag-and-drop visual interfaces and pre-built templates), no-code security automation tools enable security teams to manage risks without depending on specialized, expensive scripting skillsets.

SOAR Tools vs. No-Code Security Automation

SOAR tools and no-code security automation platforms overlap in many of their objectives, including:

  • Automation: Both solutions enable automated risk identification and management.
  • Efficiency: SOAR and no-code security tools are designed to help organizations manage risks more effectively.
  • Going beyond threat detection: Unlike SIEMs, SOARs and no-code security frameworks don’t just detect risks and send alerts, they can also be used to manage risk response.
  • Threat intelligence: Both categories of tools draw on threat intelligence data to help identify and assess the newest types of security risks.

But the similarities stop there. In general, no-code security automation delivers additional features and benefits that SOAR tools lack, including:

  • Accessibility: No-code security automation frameworks are easy enough for anyone to use, regardless of coding experience. In this way, they allow all stakeholders, not just cybersecurity experts, to define and enforce security requirements within the systems they manage.
  • Automated response: In addition to making it easy to configure security rules, no-code security automation frameworks can automate threat response based on those rules. Traditional SOARs provide some automated response features, but they focus more on orchestrating threat response actions by cybersecurity professionals than on actually remediating the threat themselves.
  • Configuration security posture management: Traditional SOAR tools usually focus on identifying active risks within environments, not assessing configurations to find flaws that could enable a breach. No-code security automation tools do both, however, which means they can address domains like cloud security posture management (CSPM) in addition to runtime security.
  • Simple integrations: While it’s possible to deploy a SOAR in various environments and with many types of systems, doing so usually requires extensive configuration and customizations. In contrast, no-code security automation platforms are designed to start working out of the box, across any mainstream environment, with minimal configuration tweaks.

Enter: AI-Powered Hyperautomation  

Building upon the accessibility and flexibility of no-code automation, the modern SOC now demands a more intelligent and scalable approach: AI-driven Hyperautomation. Torq’s autonomous SecOps platform powered by AI-driven Hyperautomation represents a fundamental leap in the evolution of security automation for modern SOC capabilities.

Security Hyperautomation delivers significant advancements over SOAR and basic no-code automation. In addition to limitless integrations and cloud-based scalability, Torq Hyperautomation™ offers powerful case management capabilities that eliminate alert fatigue by automating Tier-1 threat remediation and intelligently prioritizing complex cases. And now, Torq’s agentic AI and Multi-Agent System is revolutionizing SOC efficiency through autonomous triage, investigation, and response. 

Thanks to no-code, low-code, and AI-generated workflow building, Torq empowers your SOC team to build and manage automations without extensive coding knowledge — while also offering full-code capabilities for those on your team who want granular control.

By automating complex workflows in minutes and leveraging intelligent decision-making, the AI-powered SOC can help organizations move beyond reactive security to become more efficient and resilient in the face of talent shortages and ever-evolving threats.

See how Torq Hyperautomation stacks up:

Torq Hyperautomation vs. Legacy SOAR Tools

Torq Hyperautomation vs. No-Code Security Automation Software

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Product Use Cases

Five Ways to Automate Threat Hunting in Your SOC

By Torq
August 8, 2024
4 Minute Read

Contents

Modern threats don’t come crashing through the front door — they slip quietly through gaps in the side of your house that your legacy tools don’t even know exist. Automated threat hunting is how you find threats before they find your sensitive data. 

Automated Threat Hunting Overview

Automated threat hunting uses rule-based logic, AI, automation, and real-time telemetry to identify suspicious behaviors across your environment. While manual threat hunting is resource-intensive and dependent on expertise, automation levels the playing field. 

With Hyperautomation tools, security teams can automate detection queries, enrich findings with threat intelligence, trigger searches across systems, and initiate immediate responses.

Automated threat hunting enables your SOC to:

  • Continuously monitor and detect threats at scale
  • Investigate faster and cut root cause analysis time in half
  • Shrink time from detection to response (MTTR)
  • Apply proven threat hunting strategies automatically
  • Handle multiple threat hunting sessions simultaneously
  • Give your analysts time back

What is automated threat hunting?

Automated threat hunting is the practice of using automation and AI to continuously search for hidden threats across an organization’s environment. Unlike traditional reactive monitoring, threat hunting is proactive, and when automated, it removes the bottlenecks of manual investigation, helping decrease a potential threat’s “exposure window”.

Let’s break down five ways to automate threat hunting in your SOC.

1. Automate EDR, XDR, SIEM, and Anomaly Detection Queries

Your stack is loaded with tools. Torq seamlessly integrates your stack to make them work together. When EDR, XDR, SIEM, and anomaly detection platforms are paired with automation, these tools can detect threats and act on them.

With threat hunting automation, you can: 

  • Trigger a SIEM alert to automatically query EDR logs
  • Parse XDR telemetry to extract IOCs and enrich investigations
  • Respond to anomaly detection with distributed searches across email, cloud, identity, and endpoint logs

2. Share and Standardize Threat Hunting Templates 

Every SOC team uses custom automation templates, which are shared with team members to ensure the most efficient threat hunting workflows. These threat hunting templates serve as playbooks for automating investigations received from the SIEM/EDR/XDR queries.

Teams can:

  • Standardize how alerts are prioritized and triaged
  • Automatically detonate suspicious files in sandboxes
  • Use natural language prompts to build or modify workflows

This makes threat hunting more accessible, scalable, and consistent. Now, even junior analysts can execute expert-level investigations.

3. Trigger Search Processes With Workflows

Manual searching is slow. Automated workflows can activate search processes across various systems to identify further events and evidence. 

These workflows can:

  • Trigger endpoint and log searches across EDR, MDM, and SIEM platforms
  • Perform cross-system correlation to identify lateral movement
  • Enrich alert data using threat intelligence and vulnerability scanners

This reduces the time analysts spend manually digging through data, allowing them to focus on high-value tasks.

4. Use Playbooks for Automated Incident Response

Threat hunting without response is just research. Turn detection into action with instant, automated incident response.

Build workflows to:

  • Isolate compromised systems
  • Revoke access or reset credentials
  • Trigger notification workflows to stakeholders
  • Update case management systems

5. Automate Threat Remediation

Once a threat is confirmed, it’s go time. Depending on the threat, workflows may automate remediation by:

  • Quarantining compromised files using EDR
  • Removing malware from cloud storage or inboxes
  • Blocking malicious IPs and updating firewall rules
  • Rolling back affected systems from backups

Automated Threat Hunting with Torq

With Torq, threat hunting can be fully automated with our AI-driven Hyperautomation platform. Here’s how we do it: 

  • Automated Case Management: Torq Hyperautomates case management by automatically creating, updating, and managing cases in response to incoming alerts. High-fidelity signals get prioritized instantly, and cases are enriched in real-time with contextual data from across your stack. 
  • Observables: Observables like IPs, hashes, URLs, and domains are more than just data points. They’re trackable objects tied directly to cases and alerts, fully compliant with OCSF standards. This lets security teams link activity across seemingly unrelated investigations and surface patterns faster than ever before.
  • Relationship Tracking: Torq’s platform allows security teams to implement correlation, enrichment, and contextualization logics in their workflows, leveraging the relationships between observables, cases, and alerts. This helps security analysts identify patterns and uncover hidden threats.

As cyberattacks grow more advanced, real-time visibility and rapid response aren’t optional — they’re essential. Automated threat hunting enables SecOps teams to stay proactive, reduce alert overload, and handle complex multi-vector attacks faster.

Torq gives security professionals the automation edge they need to hunt smarter, not harder. See how Torq can elevate your automated threat hunting strategy today.

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News

Black Hat 2024: Torq Takes Over Vegas

By Torq
August 7, 2024
3 Minute Read

Our Arrival: Black Hat 2024

Subtlety has never been our specialty. Our arrival in Las Vegas for Black Hat 2024 had the city abuzz with excitement as our HyperTrucks blazed through the street, broadcasting that “SOAR is dead.” Our team traveled from across the globe, and converged to make this event unforgettable. We were not just attending; we were here to revolutionize how security operations are perceived and executed.

Torq HyperSOC™: The Demo that Broke Black Hat

Torq HyperSOC™ was undeniably the star of the show. Our demo booths were consistently surrounded by security teams waiting for their turn to witness the groundbreaking capabilities of our latest solution. The reactions were phenomenal—visitors were blown away by the efficiency and innovation that Torq HyperSOC™ brings to the table. The non-stop lines at our demo stations were a testament to the immense interest and excitement generated by our cutting-edge technology. 

“I’ve never seen anything like it in 20-something years of doing this.”

Mick Leach, Field CISO at Abnormal Security

Torq for Good

To raise awareness of the cyber skills gap and to encourage the next generation of young professionals to consider a career in cybersecurity, we committed to donate $10 for every person who visited our booth to Tech Queen Elite Training Institute. They caught our eye as a local Vegas non-profit organization that trains students in coding, business communication skills, and digital marketing technologies. We are also donating a pair of premium socks for every visitor to our booth via the Communities In Schools, Nevada organization. This donation is designed to inform kids about the value of a SOC career while also providing them with a useful back-to-school item. Communities In Schools is the nation’s leading dropout prevention organization. Its mission is to assess needs and deliver resources that remove barriers to success. It supports more than 100,000 students at 110 schools. 

Hyperautomation™ Reaches New Heights

Our booth at Black Hat 2024 was not just a display; it was an experience. The buzz and energy were palpable, with attendees continually stopping by to see what the excitement was all about. We made it loud and clear that “SOAR is Dead,” and the hundreds of security professionals we spoke to agreed.

Torq, Out. 

Black Hat 2024 was a monumental success for Torq, as we showcased our commitment to pushing the boundaries of cybersecurity and automation. Stay tuned for more exciting updates and innovations from our team – and be sure to catch us back in Vegas next month for Fal.Con.

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See Torq in Action

Get a demo to see how Torq helps you harness AI in the SOC to detect, prioritize, and respond to threats faster.

Is your security team ready to automate more, faster?