Cloud Security Automation with Torq + Sweet Security

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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:

  1. 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.
  2. 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.
  3. 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.
  4. 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

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Last year was an absolutely amazing year for Torq. The stats are just mind-blowing: 300% revenue growth and 200% employee growth. We also closed our $70M Series C round, bringing our total funding to $192M.

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!

Maximizing AI Autonomy: Achieving Reliable AI Execution Through Structure and Guardrails

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Gal Peretz, Head of AI & Data at Torq

Gal Peretz is the former Head of AI & Data at Torq. Gal accelerates Torq’s AI and data initiatives, applying his deep learning and natural language processing expertise to advance AI-powered security automation. He also co-hosts the LangTalks podcast, which discusses the latest AI and LLM technologies.

Our previous blog post explored how planning with AI systems can set the stage for smooth collaboration between humans and machines. However, a solid plan alone isn’t enough. The next step is orchestrating the execution — ensuring that the AI system can carry out tasks autonomously while maintaining guardrails that prevent errors, hallucinations, or false actions.

The Challenge of Direct Execution: LLMs Alone Aren’t Enough

Moving from a free-text runbook to execution without a structured schema is where most AI implementations fail. While large language models (LLMs) are powerful, they continue to struggle with AI autonomy due to:

  • Hallucinations: Making incorrect assumptions or executing invalid steps.
  • Ambiguity: Choosing the wrong tools or extracting incorrect arguments from the execution context to pass to the next step.
  • Lack of Determinism: Struggling to execute tasks consistently without a clear structure, often leading to indeterministic execution where the AI agent may jump between steps out of order or skip them altogether.

Simply put, letting the LLM orchestrate execution without structure and guardrails lacks the precision needed for a reliable execution process.

Streamlining the Execution of a Clear and Reliable Plan

To address this, Torq implements a concrete structured execution scheme that ensures Torq’s AI system performs tasks deterministically and without ambiguity. Once the high-level plan is developed, the AI extracts each step as an atomic unit — clear, precise, and sequential. 

This structured approach eliminates the risks of indeterministic execution, where the AI agent might skip steps, go out of order, select incorrect tools, or misinterpret arguments due to vague instructions. 

Think of it like following a recipe step by step: after deciding to ‘make dinner,’ you break your activities into clear, sequential micro-tasks like ‘bring water to a boil’, then ‘add pasta to the water.’ 

Similarly, Torq built our AI to execute a detailed plan one micro task at a time, in the right order. This allows Torq’s AI system to analyze and break down instructions and examples for each step, ensuring the AI completes the overarching task accurately. By eliminating ambiguity, the structured execution guides the AI to select the right tools and arguments at every stage, delivering consistent and reliable results.

AI Guardrails: Balancing AI Autonomy and Control

While we aim to maximize AI autonomy, balancing it with guardrails is critical to ensuring its safe and reliable execution. These guardrails act as safety nets that prevent the AI from taking false or unintended actions, ensuring human oversight remains available when necessary.

The key is for the AI to be able to break down the execution process into atomic steps that it can handle precisely. The system then focuses on clear micro-tasks for each step, reducing ambiguity and enabling the AI to perform confidently. 

However, when the AI encounters uncertainty — such as ambiguous context, missing tools, or incomplete arguments — it pauses execution and escalates the decision to a human operator. This human-in-the-loop mechanism mitigates the risks of hallucinations or incorrect tool usage, providing a safety checkpoint before the AI proceeds.

By combining structured execution with these dynamic guardrails, we can push the boundaries of AI autonomy. This allows the AI to operate efficiently and autonomously in most cases, saving significant time and resources while ensuring that safety and accuracy are never compromised.

Screenshot showing an example of an AI system seamlessly delegating control to a human when it lacks permission to execute a critical task, demonstrating how AI autonomy and human oversight work together seamlessly.
Figure 1: Example of an AI system seamlessly delegating control to a human when it lacks permission to execute a critical task, demonstrating how AI autonomy and human oversight work together seamlessly.

Reliable AI-Powered Execution at Scale

Orchestrated execution unlocks AI’s full potential by combining precision, autonomy, and control. By leveraging a step-by-step structure, AI can focus on atomic tasks, ensuring consistency and reliability at every stage. This approach streamlines workflows requiring constant human intervention, enabling AI to act efficiently while remaining grounded in a structured plan.

For Security Operations Center (SOC) teams, this translates to faster and more reliable execution of security runbooks at scale. This reduces the need to micromanage AI-powered SOC processes or perfect the prompts to control the AI, giving SOC teams more time for higher-value tasks while ensuring confidence in the AI’s structured execution.

The Future of AI Autonomy in the SOC

Choosing solutions that orchestrate AI execution with appropriate guardrails is critical for building trust, efficiency, and precision in today’s SOC operations. AI that structures execution as a series of deterministic micro steps and balances AI autonomy with human oversight allows SOC teams to confidently rely on AI systems to streamline their workflows.

This collaborative approach enables SOC analysts, engineers, and managers to:

  • Maintain control over automated processes
  • Trust in AI’s reliability for step-by-step execution
  • Focus on higher-value work while reducing uncertainty

The result is a stronger, more efficient autonomous SOC environment where human expertise and AI capabilities work seamlessly together. Schedule a demo today.

No-Code Security Automation vs. SOAR Tools

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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 SecOps teams are abandoning legacy SOAR 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?

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?

By using a codeless approach to security (think drag-and-drop visual interfaces and pre-built templates), no-code security automation tools enable SOC teams to manage risks without depending on specialized, expensive scripting skillsets. This approach empowers security analysts to move quickly: they can launch automated workflows and enforce policy at scale with simple toggles and low-code overrides for edge cases.

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. 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 incident 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 identify active risks within environments, rather than assessing configurations to find flaws that could enable a breach. No-code security automation tools do both, which means they can address domains like cloud security posture management (CSPM) in addition to runtime security — and these automation workflows span both prevention and response.
  • Simple integrations: While deploying a SOAR in various environments and with many types of systems is possible, 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.

What Sets No-Code Security Automation Apart

No-code security automation allows anyone — regardless of coding skill — to build, deploy, and manage automated security workflows. Using drag-and-drop visual editors, pre-built templates, and plug-and-play integrations, these platforms make it possible to:

  • Detect and respond to threats automatically
  • Enforce security policies across the environment
  • Remediate incidents in real time
  • Manage risk without relying on hard-to-hire scripting experts

Compared to SOAR and even low-code automation, no-code security automation is:

  • Faster to deploy: No months-long setup or custom scripting backlog.
  • More accessible: Usable by security analysts, IT admins, and even DevOps teams.
  • Broader in scope: Covers threat detection, configuration hardening, and policy enforcement.
  • Easier to integrate: Connects to your existing stack with minimal configuration.
  • End-to-end: Designed for true, end-to-end automation across detection, response, and recovery.

Traditional SOAR still delivers value in orchestration, but no-code platforms remove the barriers that made SOAR slow, rigid, and costly.

How Torq’s AI-Powered Hyperautomation Replaces Legacy SOAR

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 represents a fundamental leap in the evolution of security automation for modern SOC capabilities.

With security Hyperautomation, SOCs can:

  • Eliminate alert fatigue with autonomous triage and Tier-1 auto-remediation
  • Enrich alerts in real time with threat intelligence, asset context, and business impact scoring
  • Automate investigation and containment across EDR, SIEM, email, identity, and cloud tools
  • Scale without friction using agentless architecture and 300+ pre-built integrations
  • Empower every skill level with no-code, low-code, and full-code workflow building

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.

Choosing the Right Path: What Today’s SOCs Prefer

Market momentum is clear:

  • Gartner, IDC, and buyers alike have signaled the decline of SOAR in favor of flexible, cloud-native security automation platforms.
  • SOC leaders prefer lower cost, faster onboarding, and the ability to scale automation without adding headcount.
  • Modern platforms like Torq let security, IT, and DevOps work from a single automation layer, removing silos and speeding MTTR.

Legacy SOAR simply can’t match the speed, scalability, and adaptability required for today’s high-volume, multi-tool security environments.

Don't die. Get Torq.

See Torq in Action

The SOC has changed — your automation should too. Torq Hyperautomation combines no-code accessibility, low-code flexibility, and AI-powered autonomy to modernize security operations from the ground up. 

Whether you’re replacing SOAR, extending your existing stack, or building an autonomous SOC, Torq delivers:

  • Autonomous triage, enrichment, and remediation driven by automated decisioning
  • Seamless integrations with your current tools and pre-built connectors
  • Faster MTTR and higher productivity for your security analysts, powered by automated workflows

See how Torq Hyperautomation stacks up.

Streamline Recorded Future Integrations with Torq for Enhanced Threat Intelligence

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One of the superpowers of the Torq Hyperautomation platform is the ability to integrate with anything. We combine forces with leading security vendors to create automations that make SOC analysts’ lives easier while also improving their organizations’ security posture.  

Torq Hyperautomation integrates seamlessly with Recorded Future to take your threat intelligence workflows from manual and reactive to fully automated and autonomous. 

Whether you’re enriching IOCs, sandboxing suspicious files, detecting phishing, or spotting impossible logins, Torq makes it easy to turn Recorded Future threat intel into real-time security action — without writing a single line of code.

Why Integrate Recorded Future with Torq?

Recorded Future is one of the most powerful threat intelligence platforms available, collecting, analyzing, and delivering high-fidelity data on threat actors, tactics (TTPs), and indicators of compromise (IOCs). But using it effectively still requires:

  • Manual triage of alerts and indicators
  • Context switching between tools
  • Analyst time to trigger remediation

By connecting Recorded Future’s API to Torq’s no-code, AI-driven Hyperautomation platform, you can:

  • Automate IOC enrichment and validation
  • Trigger real-time auto-remediation workflows across your stack
  • Share intelligence instantly across SecOps, IT, and cloud teams
  • Reduce MTTR by moving from “intel to action” in seconds

Top Torq + Recorded Future Automations

Here are four high-impact automations that combine the power of Torq’s orchestration with Recorded Future’s threat data.

1. Analyze URLs and Files in Recorded Future Sandbox

Eliminate the manual back-and-forth of investigating suspicious URLs and files by letting Torq handle ingestion, validation, and sandbox submission.

Workflow example:

  1. Torq receives a list of potentially malicious links or file download URLs from any source — SIEM, email, chat, or manual input.
  2. URLs in the urls_list are sent for Recorded Future website analysis; file links in the files_url_list are downloaded and submitted for file analysis.
  3. Invalid or malformed URLs are automatically filtered out to avoid false positives and wasted cycles.
  4. Recorded Future’s sandbox verdicts (malicious, suspicious, clean) are returned in real time and pushed to the requesting team via Slack, email, or ticketing systems.

SOC teams get actionable verdicts in seconds with zero analyst touch time, drastically reducing triage delays.

2. Enrich Hashes, CVEs, and IP Addresses via Slack

Make threat intelligence instantly available where analysts collaborate, removing the need to pivot between multiple tools.

Workflow example:

  1. A user drops a SHA256 hash, CVE ID, or suspicious IP into a Slack message or SOC request channel.
  2. Torq automatically extracts IOCs, confirms the input with the requester, and queries Recorded Future for enrichment.
  3. Threat context, severity scores, and related intelligence are instantly posted back into the same Slack thread for transparency.

Analysts never leave Slack to check an IOC, reducing investigation times from minutes to seconds and minimizing workflow disruptions.

3. Monitor Outlook Mailboxes for Phishing

Automatically process and classify suspected phishing emails without analyst intervention.

Workflow example:

  1. Torq watches a specific Outlook folder (e.g., “Not-Scanned”) for new submissions from users.
  2. Torq extracts URLs, attachments, and IPs from the email body and headers.
  3. The platform runs those IOCs through Recorded Future’s intelligence platform and sandbox.
  4. It applies labels like Investigated, Suspicious, Malicious, or Phishing directly to the mailbox and notifies the reporter of the findings.

End-to-end phishing triage — from user submission to final verdict — happens in minutes, not hours, with zero manual file or URL lookups

4. Detect Impossible Travels in Okta Logins

Identify impossible travel anomalies and respond to compromised accounts in real time using behavioral and geolocation analysis.

Workflow example:

  1. Torq ingests successful login events from Okta.
  2. It then compares the login’s IP geolocation to the last known login location for the same user.
  3. The platform flags logins that occur in physically impossible timeframes (“impossible travel”) for review.
  4. It queries Recorded Future for IP reputation to confirm risk.
  5. If suspicious, automatically resets the user’s password, logs them out of active sessions, and sends an alert to both the user and the SOC.

Immediately contain account takeover attempts before malicious actors can escalate privileges or exfiltrate data.

Enrich Your Threat Intel Workflow with Hyperautomation

Recorded Future gives security teams deep, contextual intelligence on the threats that matter most — but intelligence alone doesn’t stop attacks. Without the right orchestration layer, valuable data can sit idle in an inbox, SIEM queue, or analyst’s to-do list.

Torq Hyperautomation ensures that every IOC, every alert, and every piece of context moves seamlessly from insight to action — at scale and without manual intervention.

With Recorded Future’s API feeding into Torq workflows, you can:

  • Automate IOC processing: Eliminate manual copy-paste and data re-entry by automatically ingesting hashes, IPs, domains, and CVEs from any source — chat, email, SIEM, or threat feed — and routing them directly into Recorded Future for analysis.
  • Enrich data at scale: Combine Recorded Future’s rich threat context with data from internal CMDBs, cloud logs, EDR telemetry, and other intel feeds to build a 360° profile of each IOC, enabling faster and more confident decisions.
  • Trigger precise, policy-driven responses: Automatically execute targeted playbooks, such as quarantining an infected endpoint, blocking a malicious domain at the firewall, or disabling a compromised account, all within seconds of detection.
  • Eliminate silos across the SOC: Push enriched intel and recommended actions into every relevant system, ensuring all teams have the same, real-time picture of the threat.

Threat data is instantly operationalized by combining Recorded Future’s intelligence with Torq’s Hyperautomated workflows. The result is faster MTTR, fewer missed threats, and a security team that can scale without adding headcount.

From Intelligence to Action — Automatically

Pairing Recorded Future integrations with Torq turns threat intelligence into outcomes: you collect data from technical sources via API, enrich IOCs with TTPs, and orchestrate precise actions across endpoints — all surfaced in shared dashboards. This approach facilitates faster triage and lowers MTTR by moving what’s collected into real decisions and responses in seconds, not hours. 

Whether you’re piloting or pushing to GA, Torq operationalizes your intel pipeline end-to-end — so your analysts spend time resolving threats, not copy-pasting between tools.

Don’t let valuable threat data sit idle. Read our Don’t Die, Get Torq manifesto to see how your SOC can eliminate Tier-1 grind and focus on what matters most.

Automate Non-Human Identity Security and Risk Remediation with Torq and Astrix

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As organizations embrace zero trust and strengthen identity protections for human users with multi-factor authentication (MFA), privileged access management, and strict authentication controls, a major blind spot remains: non-human identities (NHIs). 

These include API keys, service accounts, OAuth apps, and machine-to-machine credentials, often holding powerful privileged access yet lacking visibility, rotation, or governance. Attackers have taken notice, increasingly exploiting these unmanaged digital identities to breach environments and escalate attacks. 

That’s why Torq and Astrix have partnered to deliver a fully automated, intelligent solution for securing NHIs. The solution combines Astrix’s real-time behavioral detection with Torq’s no-code remediation workflows to continuously protect against identity-based breaches.

Why Non-Human Identity Security Needs to Be a Priority

Cybersecurity teams invest heavily in protecting user identities, securing login credentials, and enforcing authentication. However, the rising number of non-human identities (NHIs) often escapes similar scrutiny, creating significant security vulnerabilities. NHIs have become a primary attack vector due to widespread lack of visibility, weak governance, and unmanaged permissions.

Common risks associated with NHIs include:

  • Over-permissioned or over-privileged access
  • Lack of credential rotation and MFA
  • Unused tokens and keys increasing vulnerability
  • Poor visibility across cloud and SaaS integrations
  • Increased susceptibility to credential-based cyberattacks

The Hidden Risk Behind Digital Identities

Non-human identities frequently possess highly privileged access with little oversight. Service accounts, API keys, OAuth applications, and other machine identities can remain active indefinitely without periodic checks, making them prime targets for exploitation. Credential misuse or breaches involving these identities often go unnoticed until damage is already done.

Why Traditional Identity Management Falls Short

Traditional identity solutions, such as Identity Access Management (IAM) and Privileged Access Management (PAM), primarily focus on human users. They enforce policies like MFA, regular password rotation, and robust activity monitoring. These tools, however, are not built for automated services or non-human identities, leaving a substantial gap in security posture.

How Torq and Astrix Automate Non-Human Identity Protection

Torq and Astrix seamlessly integrate to deliver a comprehensive solution that automates the detection and remediation of non-human identity risks. By combining Astrix’s advanced behavioral analytics with Torq’s intelligent automation, security teams gain unprecedented visibility and control.

Detecting Anomalous Behavior in Real Time

Astrix Security applies behavioral analysis typically reserved for human identities to NHIs. By monitoring activity patterns, Astrix detects unusual behaviors, unauthorized access, or suspicious usage in real-time, closing gaps often overlooked by conventional identity management solutions.

Triggering No-Code Remediation Playbooks Automatically

When Astrix identifies an anomaly, Torq instantly triggers no-code remediation workflows based on preset rules. These automated playbooks rapidly address issues such as revoking access, rotating credentials, disabling unused identities, or alerting security teams, streamlining threat mitigation, and significantly reducing response times.

Enforcing Least-Privilege Access with Continuous Policy Management

Astrix continuously assesses and identifies NHIs with excessive privileges and dormant or outdated credentials. Torq automates the enforcement of least-privilege access policies by proactively removing unnecessary permissions, revoking unused tokens, and continuously updating identity posture, ensuring minimal attack surface exposure.

Strengthening Authentication and Access Control with Automation

Static access controls and manual credential management are no longer sufficient. As organizations adopt cloud-native infrastructure, DevOps pipelines, and an ever-growing array of third-party services, the number of digital identities — especially non-human ones — has exploded. 

Without automation, ensuring secure authentication and effective access control becomes unmanageable at scale. Automating these processes enhances identity hygiene, reduces risk, and allows security teams to enforce policy consistently across complex, dynamic environments.

Simulating MFA and Rotating Credentials Automatically

While multi-factor authentication (MFA) remains a cornerstone of identity security for human users, non-human identities often can’t use MFA in traditional ways. Organizations are turning to automated mechanisms that simulate MFA behavior like enforcing time-limited credentials, rotating keys after specific usage thresholds, or applying context-aware access restrictions. Automatically rotating credentials or secrets based on predefined policies helps prevent unauthorized reuse, reduce the impact of credential leakage, and limit the exposure window for attackers.

Securing Third-Party Integrations and External Access Points

Third-party applications and services can significantly expand an organization’s attack surface if not properly secured. Many breaches originate from overly permissive or forgotten integrations. Automating these external connections’ discovery, evaluation, and control is essential for maintaining security. By continuously monitoring for risky behaviors, organizations can automatically revoke or reconfigure access, enforce least-privilege principles, and minimize external risk without relying on manual reviews. 

Common Identity Security Challenges and How Torq Solves Them

Closing Visibility Gaps Across Cloud and SaaS Environments

Torq consolidates identity and security signals from your entire security and tech stack, providing unified visibility into NHI risks. By centralizing this information, Torq enables precise identification and quick remediation of identity-related vulnerabilities across the entire digital ecosystem.

Stopping Credential Misuse and Phishing-Style Exploits

With automated playbooks, Torq instantly identifies and stops credential misuse, proactively revoking compromised tokens, and preventing phishing-like attacks on NHIs. This immediate response capability significantly reduces security risks and minimizes potential damage.

Eliminating Alert Fatigue and Manual Remediation Backlogs

Manual remediation processes can overwhelm security teams, resulting in alert fatigue and delayed responses. Torq autonomously resolves repetitive and high-volume NHI-related incidents, reducing operational overhead and allowing security analysts to focus on strategic security initiatives.

Securing the Future of Identity Security

As the volume and complexity of non-human identities grow, so does the urgency of securing them with the same rigor applied to human users. API keys, service accounts, and automation credentials often fly under the radar, creating a hidden and highly exploitable attack surface. Traditional tools were never designed to manage this scale or speed. 

By integrating behavioral detection and intelligent auto-remediation, Torq and Astrix empower security teams to proactively manage identity risk, streamline response, and enforce consistent access controls. The result is a scalable, flexible, and future-proof approach to identity security that addresses today’s threats and tomorrow’s challenges.

Ready to close the gap on non-human identity risk? Request a demo to see how automated identity security works in action.

Impossible Travel Detection with Torq: Stop Identity-Based Attacks in Real Time

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With remote work and global access, defending identity is now a 24/7 discipline. One high-fidelity risk signal is when a user appears to log in from two distant locations in an unrealistically short window — an anomaly that’s often a sign of stolen credentials, session hijacking, or policy misuse. Catching this impossible travel detection early lets you block access before attackers pivot, escalate, or exfiltrate data.

What Is Impossible Travel Detection?

How Impossible Travel Happens

Credential theft: Phishing, multi-factor authentication (MFA) “push fatigue,” and password reuse feed credential-stuffing and direct account takeover.

Token and session abuse: OAuth consent phishing, stolen refresh tokens, or session hijacking from compromised devices enable logins from anywhere without the password.

VPN/proxy/geolocation spoofing: Consumer VPNs, TOR, residential proxies, and cloud egress IPs make a user appear to “teleport” between countries.

Shared or service accounts: Multiple people (or scripts) using one identity from different regions trigger impossible travel detection.

Federated SSO drift: Misconfigured IdP/SAML/OIDC trusts or third-party SaaS logins from distant regions create mismatched signals.

Mobile or network artifacts: Carrier-grade NAT, roaming, airplane/ship Wi-Fi, and inaccurate IP geolocation can look like anomaly detection hits even when benign.

Why Impossible Travel Detection Matters

Early containment: Catching suspicious logins at the first hop prevents lateral movement, privilege escalation, BEC, and data exfiltration.

Lower dwell time and MTTR: Rapid triage and verification shrinks exposure windows, cuts investigation hours, and reduces downstream incident costs.

Protection of high-value access: Stops unauthorized entry to SaaS suites (email, finance, CRM), cloud consoles, and identity systems before damage occurs.

Fewer false positives with context: Pairing geo-velocity with device fingerprint, IP reputation, VPN awareness, and user history reduces noise while preserving real detections.

Compliance and audit readiness: Clear, automated decisions and records support regulations, incident reporting, and fraud investigations.

Proven pattern from fraud prevention: The same impossible travel logic used in travel and payment fraud highlights anomalous access patterns in enterprise identity, with measurable risk reduction.

Why Identity Threats Are the New Frontline in Cybersecurity

According to IBM, stolen or compromised credentials account for up to 40% of malicious incidents in Fortune 500 companies. These breaches also rank among the most expensive, adding over $1 million in costs per incident. Despite best practices like MFA and employee security training, the human element remains the weakest link — 68% of breaches stem from social engineering or user error.

Identity signals must be correlated in real time across IdPs (Okta, Microsoft Entra), EDR/XDR (e.g., Microsoft Defender), email, and cloud. That’s why modern security operations teams operationalize IdentityOps: for automated detection, contextual enrichment, and instant, policy-driven response.

How Torq Automates Impossible Travel Detection

To save security analysts from legacy systems and alert fatigue, Torq created an Impossible Travel Detection workflow that eliminates reliance on legacy, manual security processes. Torq automates Impossible Travel Detection with your existing best-of-breed toolstack. 

With 300+ integrations, this workflow can integrate with Okta, Microsoft Entra (Azure AD), and other leading identity providers, leveraging geolocation, user behavior analytics, and AI-driven security automation to identify and block suspicious logins instantly.

How To Detect Impossible Travel

Torq autonomously triggers its detection workflow based on successful login events from your identity access management (IAM) provider of choice and follows this streamlined identity-centric process:

  1. Login event capture: Activates the workflow when a user logs into Okta (or another IAM solution).
  2. Geolocation analysis: Determines the IP address’s physical location via integrated intelligence tools.
  3. Historical user behavior comparison: Compares the login’s geolocation with previous locations stored as identity baselines.
  4. Distance and speed calculation: Uses the Haversine formula to determine the travel distance and computes implied travel speed.
  5. Anomaly detection: Flags logins that exceed a predefined speed threshold (e.g., 1,000 km/h).
  6. Risk scoring and identity context awareness: Incorporates additional risk intelligence to minimize false positives.
  7. Automated response actions: Torq can automatically reset the user’s password, revoke active sessions, notify the SOC via Slack or Teams, and create an incident ticket — all in seconds.

By analyzing real-time user behavior and risk signals at machine speed, Torq instantly determines whether a login attempt is legitimate or an identity-based attack.

Going Beyond Geolocation: Smarter Identity Threat Detection

The power of IdentityOps lies in your ability to integrate across the security ecosystem — leveraging multiple threat intelligence and user behavior signals to detect, assess, and remediate compromised identities dynamically.

Advanced Risk Signals Integrated into Torq’s IdentityOps Workflow

Torq enriches Impossible Travel Detection with best-in-class security integrations, ensuring high-fidelity threat identification through:

  • IP reputation enrichment: Queries VirusTotal, Recorded Future, or CrowdStrike to determine if the login originates from a known malicious or suspicious source.
  • User behavior profiling: Establishes a historical baseline of each user’s login habits to detect anomalous patterns.
  • Context-aware decisioning: Analyzes additional identity context, VPN usage, corporate IP addresses, travel windows, verified itinerary data, and cloud service access patterns to reduce false positives.

These multi-layered identity security checks ensure precision threat detection while maintaining a seamless user experience.

Real-Time User Verification and Remediation Workflow

With this workflow, Torq detects potential takeovers. Then, Torq automatically engages users and security teams for real-time resolution.

Step 1: User Notification & Verification

The moment a suspicious login is detected, Torq automatically contacts the affected user with a context-rich, real-time security challenge delivered via their preferred channel (i.e., email, Slack, Teams, or SMS):

🚨 Suspicious Login Detected

We noticed a suspicious login to your account from [Geo IP City]; your last login was from [Cache Geo IP City].

📍 Distance between logins: [Calculated Distance]

❓ Do you recognize this login as yours? [Yes] / [No]

This proactive approach serves three key purposes:

  1. Alerts the user of potential credential compromise.
  2. Provides contextual insight into login activity.
  3. Engages users in real-time identity verification.

Step 2: Adaptive, Automated Remediation

If the login is verified as legitimate:

  • Torq updates the user’s known location history and device fingerprint.
  • A log entry is created in the audit trail for compliance tracking.
  • Operations continue without interruption.

If the login is denied (or is ignored or times out), Torq initiates auto-remediation.:

  1. Torq forces an immediate password reset and sends a secure reset link to the user.
  2. All active sessions are terminated across web, mobile, and connected apps.
  3. The SOC is alerted via Slack, Teams, SIEM, or ITSM for visibility.
  4. An incident ticket is automatically created and enriched with geolocation, IP reputation, and session history for investigation.

Optional: AI-Driven Investigation & Escalation

For high-risk scenarios — such as an admin account compromise or repeated suspicious logins — Torq automatically escalates the response by:

  • Disabling the account entirely until security clearance
  • Revoking OAuth and SSO sessions across all connected platforms
  • Enforcing step-up MFA for reauthentication
  • Running additional enrichment workflows such as IP threat lookups, device risk scoring, dark web credential checks

The result is a closed-loop, autonomous detection and remediation process that catches account takeover attempts early, engages the right people instantly, and resolves incidents before damage is done — without relying on slow, manual analyst intervention.

Save your SOC with Torq HyperSOC

Customizing IdentityOps: Flexible, No-Code Security Automation

Every organization’s identity posture is unique. Torq HyperSOC™ lets you tune thresholds, data sources, and actions without long dev cycles. Torq has: 

  • Customizable risk scoring and speed thresholds
  • Seamless integration with IAM, SIEM, and XDR platforms
  • Adaptable remediation actions based on risk severity
  • Agentic AI and AI Workflow Builder for instant, custom identity automation

Organizations can fine-tune Impossible Travel Detection to align with their unique security policies, compliance needs, and identity protection strategy, including:

  • Adjusting velocity rules, confidence cutoffs, and country allow-lists
  • Choosing your enrichment stack (IdP, Microsoft Defender, EDR, TI, SIEM) and the integrations that matter
  • Routing outcomes to ITSM, SIEM, data warehouse, or compliance dashboards
  • Localizing messaging and multi-language prompts to reduce end-user confusion

Transform Your Identity Security with Torq

By shifting to IdentityOps automation, security teams can radically transform how they detect, manage, and respond to identity threats. When you connect IdentityOps signals to automation workflows, you:

  • Lower dwell time and MTTR: Automated verification and remediation closes the loop in minutes.
  • Reduce false positives: Contextual scoring means fewer noisy cases and crisper “go/no-go” decisions.
  • Protect critical access: Prevent bad actors from reaching SaaS finance apps, admin portals, and cloud consoles.
  • Prove outcomes: Every alert, action, and result is captured for audit and continuous improvement.

Instead of relying on reactive security controls and manual investigations, Torq proactively enforces identity security at scale — ensuring only trusted users access your most sensitive resources. 

Stop credential-based attacks before they spread. See how Torq turns identity signals into decisive action in our Don’t Die, Get Torq manifesto.

Cut Through the Hype: Tips for Evaluating AI Solutions for an Autonomous SOC

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As C-suites and boards are bombarded with headlines about AI revolutionizing cybersecurity, it’s no wonder they’re putting pressure on SOC leaders to adopt AI. The promise of AI in the SOC is rightfully alluring. An AI-native autonomous SOC has the potential to create a world where AI Agents collaborate with each other to take care of repetitive tasks and handle the majority of low-level alerts, freeing your human team up for strategic, proactive work. 

The hurdle? The AI cybersecurity landscape is swarming with vendors — and new ones are seemingly popping up out of stealth mode every day with shiny marketing and grand claims. 

This leaves SOC leaders wading through the noise to figure out which tools are overexaggerated AI-washed vaporware and which ones are truly operational, integrated, and trustworthy. Below are some tips for cutting through the hype to find the right AI solutions to help build an autonomous SOC. 

Start with the End Goal in Mind — and Think Big Picture

How do useful AI cybersecurity tools impact operational outcomes, functional goals, and strategic objectives?

Step back and start with the big picture. To avoid “scattergun” AI adoption in the SOC that leads to a flood of AI-generated alerts with no context or prioritization, begin by defining clear AI objectives aligned with your overarching security strategy. Before you dive into the AI vendor pool, take a moment to reflect on your SOC’s practical needs. What are your biggest pain points? Where could AI make the biggest impact? Are your analysts drowning in a sea of alerts? Or are they having to spend too much time on tedious tasks? Prioritize AI solutions that directly address these day-to-day challenges.

“I believe the successful use of 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

Leverage AI for tasks where human limitations — such as fatigue and information overload — lead to inefficiencies. Generative AI-powered AI Agents are adept at tasks involving natural language processing and the creation of logical workflows. This makes AI ideal for automating repetitive, monotonous tasks, intelligently triaging alerts and autonomously handling incidents, and providing real-time insights and recommended next steps to speed up human decision-making. In turn, human analysts are freed up to focus on strategic activities and make faster, more informed decisions, significantly improving overall efficiency and effectiveness.

Think holistically to maximize the value of your investment. One-off AI tools from different vendors can’t add up to an autonomous SOC because they can’t connect security signals across your stack and provide meaningful, context-rich insights. Prioritize investing in a centralized automation platform with enterprise-grade scalability and the ability to integrate with every solution in your security environment. Purpose-built AI Agents for the SOC built on this foundation can work as a unifying force at the heart of your security stack to correlate disparate event data, uncover deep, contextual insights, and accelerate efficiency gains across your security operations.

Stay ahead of threats by keeping up with autonomous SOC advancements. Hyperautomation is now table stakes for Security Operations, demanding platforms with native, fully embedded AI capabilities rather than bolted-on GPT wrappers. Agentic AI,  the new frontier for delivering on the promise of the autonomous SOC, is now a reality. Torq just announced a groundbreaking Multi-Agent System for security operations with specialized AI Agents that collaborate, plan, and reason to autonomously analyze and resolve security threats. 

“SecOps organizations that adopt GenAI-based Hyperautomation will benefit from the most advanced LLMs ever, enabling analysts to auto-analyze more events and identify novel threats at the beginning of their cascade of potential impact, rather than after they’ve had a chance to create serious damage. GenAI will also further democratize SecOps, so employees at all levels are able to deploy, manage, and monitor Hyperautomation systems.”

– Leonid Belkind, Torq CTO and Co-Founder | 2025 Predictions: How GenAI and Hyperautomation Will Reshape SecOps and Threat Landscapes

Tips for Evaluating AI Cybersecurity Tools for the SOC

Establish your evaluation criteria: Given the potential risks associated with AI solutions, careful third-party risk management is crucial.  Collaborate with IT teams, business leaders, and legal to ensure alignment with company-wide AI usage policies. Below are some key considerations when choosing a vendor for AI in the SOC:

  • Flexibility and integration: Make sure the AI solution you choose can easily integrate with your existing security stack and ingest and intelligently transform data in any format. A flexible platform that can adapt to your evolving needs is essential so you don’t get locked in. 
  • Security and privacy: Any solution deployed in your SOC should meet enterprise-grade security standards and have tiers of controls to protect data confidentiality. 
  • Transparency: One of the most crucial elements for building trust in AI is to ensure the model can explain why it made the decisions it made and how it came to the conclusions it did. 
  • Human-AI collaboration: Effective AI Agents in the SOC facilitate a collaborative, back-and-forth relationship with the human analysts they work with, clearly communicating its capabilities and limitations. When encountering roadblocks, the AI should seek human input or validation.

Ask the right questions: Overexaggerated,  misleading, and outright false claims about AI capabilities are all too common. We’ve got a list of 40 questions to help you understand a vendor’s AI capabilities, integrations, and more, such as:

  1. Is all customer data encrypted in transit? Is stored data encrypted on disk? Is data stored in vendor data centers or only in memory? 
  2. What countermeasures does the solution have in place to prevent AI hallucinations?
  3. Does the system keep immutable records of all inputs and outputs for AI-driven actions?
  4. Does the solution have robust and versatile role-based access controls? 

Refine your shortlist: Use your evaluation criteria to narrow down your list of potential vendors. Consider factors like cost, features, and vendor reputation. Conduct thorough research and request demos from your shortlisted vendors. 

Test before you invest: The proof of whether an AI solution is vaporware or truly operational is in the POC. Ask for demos and conduct a proof-of-concept for a key use case to see the AI solution in action in a controlled environment. Pay attention to the scalability, ease of use, and overall performance. 

Consider long-term partnerships: Build strong relationships with vendors who can provide ongoing support and innovation. Ask about their AI product roadmap.

40 Questions to Ask AI SOC Vendors

To help you sharpen your evaluation of AI solutions for the SOC, we’ve put together this list of 40 critical questions to ask vendors. Cut through the noise of “AI-washed” marketing and dig into the AI’s operational and integration capabilities to ensure you get real value.

Simplifying Non-Human Identity Security with Torq and Clutch Security

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The rise of Non-Human Identities (NHIs) — think APIs, bots, service accounts, and machine identities — has expanded the attack surface in ways we’re only beginning to understand. NHIs now outnumber human identities in enterprise environments, often by a staggering ratio. While they streamline processes, enable scalability, and facilitate automation, these identities also present significant security risks.

The Growing Importance of Non-Human Identity Management & Security

Traditional approaches struggle to address the dynamic nature of NHIs, especially when it comes to:

  • Lifecycle governance: Stale or orphaned accounts are often left unchecked, creating vulnerabilities and increasing the risk of unauthorized access.
  • Contextual visibility: A lack of insight into what non-human identities are doing and why they are being used leaves security teams in the dark.
  • Zero Trust alignment: Continuously validating the usage of non-human identities is critical to enforcing least-privilege policies and maintaining security.

Security teams are left grappling with blind spots, operational inefficiencies, and increasing exposure to breaches. This is not just a challenge — it’s a mandate for change.

Enter Torq and Clutch Security: a partnership reshaping how security teams tackle the complexity of non-human identity management and security. 

Empowering SOC Teams with Seamless Zero Trust and Incident Response 

Clutch delivers visibility into NHI activity, offering deep insights into how these identities are created, used, and misused. Torq enhances this visibility with AI-driven Hyperautomation that transforms insights into action. When used together, SOCs are given the power to:

  1. Simplify complexity: Automatically ingest and contextualize Clutch’s NHI inventory into Torq workflows, enabling real-time decision making.
  2. Enhance Zero Trust: Dynamically enforce least-privilege policies for NHIs with automated remediation.
  3. Accelerate incident response: Detect NHI misuse through Clutch, then trigger Torq workflows to contain and remediate threats instantly.
  4. Future-proof security: Transition to ephemeral identities without operational friction, ensuring NHIs always align with your Zero Trust goals.

Real-World Implementation, From Detection to Resolution

Consider a common scenario: a temporary service account is created for a one-off task but inadvertently granted excessive permissions. Without the right tools, detecting and remediating the issue might take hours or even days. With Torq and Clutch, this process becomes seamless:

  1. Detection: Clutch identifies the account’s risky behavior in real time, flagging it for immediate review.
  2. Automation: Torq triggers a workflow to revoke the account’s excessive permissions, notify the SOC, and autonomously document the event for compliance.
  3. Prevention: Clutch provides recommendations for transitioning the account to an ephemeral identity, which Torq enforces automatically.

In short, this partnership enables security teams to do what they do best: defend their organizations with precision and confidence.

Ready to Transform Your Non-Human Identity Management and Security?

If you’re ready to bring Zero Trust to your NHIs and revolutionize your SOC, explore the Clutch-Torq integration today. Together, we’re setting a new standard for how enterprises secure their most overlooked — but most critical — identities.

What Is Auto-Remediation in Security? (And Why Your SOC Can’t Survive Without It)

Attackers aren’t waiting around while your team manually investigates every alert, updates every firewall rule, or sends out those “please reset your password” emails. If you’re still relying on human intervention for every step in your incident response process, you’re already behind.

That’s where auto-remediation comes in — your SOC’s not-so-secret weapon for quickly remediating threats, reducing burnout, and eliminating manual busywork once and for all.

Compared to manual processes, auto-remediation delivers greater speed, consistency, and scalability — critical elements for modern SOC success.

How Does Auto-Remediation Work?

In a typical SOC, auto-remediation involves four key stages:

  1. Detection: A system flags a suspicious login or abnormal behavior.
  2. Triage: Your platform checks context. Is this a known issue? Is this user legit?
  3. Remediation: If the threat meets the right criteria, your auto-remediation playbook kicks off: isolate the asset, notify the user, reset the password, and update relevant tools.
  4. Documentation: Every step is logged, so your audit trail stays clean.

Five Key Benefits of Automated Remediation

  1. Rapid response: The longer a threat lingers, the greater the damage. Auto-remediation slashes your mean time to response (MTTR) and gets you back on offense.
  2. Reduced analyst burnout: Alert fatigue is a thing. Offloading repetitive tasks frees up your team to focus on real, strategic work.
  3. Consistent uutcomes: Security automation ensures precise, repeatable responses without human error or oversight, following defined protocols every time.
  4. Scalable operations: As alerts multiply, automation scales effortlessly, allowing your SOC to manage larger volumes without adding headcount.
  5. Improved compliance: Automated remediation enforces security standards (e.g., PCI-DSS, GDPR) by rapidly detecting and correcting policy violations, with thorough documentation for auditors.

Everyday Use Cases for Auto-Remediation

Phishing containment: Automatically isolate compromised inboxes, revoke access to malicious emails, block phishing URLs, and notify users.

Malware-infected host quarantine: Detect malware, isolate the endpoint from the network, trigger EDR scans, and escalate the issue if necessary.

IAM policy violations: Spot privilege escalations or inactive admin accounts and auto-revoke access, enforce MFA, or disable the account, keeping identity sprawl in check.

Cloud misconfigurations: When CSPM detects risky S3 buckets or open ports, auto-remediation can tag the asset, log the fix, and alert the team.

Failed login brute force attacks: Identify login abuse patterns, block IPs, lock targeted accounts, and update firewall rules automatically, before damage is done.

Autonomous Remediation with Torq HyperSOC™

Torq HyperSOC™ takes auto-remediation from automated to autonomous. With powerful agentic AI,  HyperSOC enables the automatic detection, triage, and resolution of security incidents, eliminating the need for human intervention. Powered by Socrates — the AI SOC Analyst — and a suite of specialized AI micro-agents, HyperSOC auto-remediates over 95% of Tier-1 security operations. Here’s how it works.

Always On Detection and Triage

Torq integrates with your entire security stack: EDR, SIEM, email, IAM, cloud, and more. When a threat is detected, Torq Socrates immediately pulls in relevant data to triage the alert, determine its legitimacy, and assess severity.

Auto-Remediation with Agentic AI

Each agent within Torq’s Multi-Agent System (MAS) specializes in a different SecOps task, like investigation, enrichment, or containment. Once an alert is confirmed, these agents autonomously execute a pre-validated remediation path, such as:

  • Blocking compromised accounts in Okta or Azure AD
  • Quarantining infected endpoints via EDR tools like CrowdStrike
  • Revoking malicious OAuth tokens
  • Killing malicious processes or containers in cloud environments
  • Auto-closing resolved tickets in platforms like Jira or ServiceNow

Zero-Code, Full Oversight

Even with fully autonomous operations, Torq gives analysts total visibility. They can supervise AI remediation workflows, approve actions, and modify runbooks in natural language — no coding needed.

Unmatched Speed and Scale

HyperSOC enables SOCs to process and remediate 3–5x more alerts without expanding the team, reduce investigation time by up to 90%, and eliminate 95% of Tier-1 tasks — entirely autonomously.

Torq + Abnormal: An IRL Example 

Torq HyperSOC brings autonomous remediation to life in the real world with Abnormal Security email security. When Abnormal Security flags suspicious behavior, whether it’s an account takeover attempt, credential phishing, or post-delivery malware, Torq instantly kicks off a no-code auto-remediation workflow. That means the second a threat is detected, action is already underway.

Torq pulls in context from identity systems like Okta, security tools like CrowdStrike or SentinelOne, and communication platforms like Slack or Teams to automatically lock accounts, revoke sessions, isolate endpoints, delete malicious emails, and notify impacted users. 

Torq’s workflows can dynamically engage users to confirm suspicious activity, add decision branches based on user role or device posture, and escalate to humans only when needed.

TL;DR: Your SOC Can’t Survive Without Auto-Remediation

Auto-remediation is the engine behind scalable, resilient, and efficient security operations. By integrating automated remediation into your security operations, you transition from reactive firefighting to a proactive, autonomous SOC. With threats growing increasingly sophisticated, your SOC can’t afford manual inefficiencies.

Make auto-remediation a central part of your security strategy. Let Torq’s agentic AI-driven automation handle threats at machine speed, empowering your analysts to focus on strategic security initiatives.

Thinking about adding AI to your SOC? Get the inside scoop on what CISOs are considering, top use cases, and the key questions to ask vendors for a successful deployment.