Torq
Agentic AI SOC platform for triage, investigation, and response at machine speed.
Torq is a top pick for enterprise SOCs that want AI to actually solve alert fatigue, not just add another dashboard. Its learning loop — SOC Brain, Context Graph, Reflex — is a differentiator that compounds value over time. Smaller teams should weigh cost and complexity against leaner SOAR options.
Verified 4d ago · liveness 78/100 · cite: rightaichoice.com/tools/torq
- Enterprise SOC teams handling 1000+ alerts daily
- Security operations leaders aiming to cut MTTR
- Teams moving from SOAR to agentic AI
- Multi-cloud environments needing unified triage
- Very small security teams (under 5 analysts)
- Organizations requiring on-premises deployment
- Teams that prefer fully manual operations
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Skip Torq if you're a small security team (under 5 analysts), need on-prem deployment, prefer manual operations, or are not ready for AI-driven judgment in your security operations.
Pricing is custom only, so there's no published list; you'll need to engage sales, and costs may be high for smaller teams.
Torq's custom pricing targets enterprise SOCs that can justify the investment for AI-driven triage and response. For smaller teams, lighter SOAR tools like Swimlane or Splunk SOAR may be more cost-effective, but Torq's learning capabilities offer a differentiator that can translate into ROI for high-volume SOCs.
In short
Torq — Agentic AI SOC platform for triage, investigation, and response at machine speed. Best for Enterprise SOC teams handling 1000+ alerts daily, Security operations leaders aiming to cut MTTR, Teams moving from SOAR to agentic AI. Contact Sales pricing.
What's new in Torq
Checked 4 days agoAcross the latest 5 updates: 1 feature update, 2 launches and 2 news mentions.
Turning On Torq Mode
Torq Mode brings the bold brand into the product experience, enhancing the UI with a distinctive look.
Torq SOC Brain™: The AI SOC That Learns, Not Just Remembers
Introduces Torq SOC Brain, a learning layer that captures context and memory to improve AI decisions over time.
The 2026 AI SOC Roadmap: Where SOC Teams Are Headed and How to Get There
Survey of 450 leaders reveals AI expansion plans and architecture needs for SOC teams.
20 Questions Every Security Leader Should Ask Before Buying an AI SOC
Checklist to help buyers evaluate AI SOC vendors beyond demos.
Torq Reflex: Teaching the AI SOC Judgment
Torq Reflex adds judgment to AI SOC actions by learning from analyst corrections.
Viability Score
How well maintained and how widely used is Torq? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- AI-powered alert triage and de-duplication
- Investigative AI agents (HyperAgents) for evidence collection
- Socrates natural language-driven autonomous remediation
- Agentic runbooks for automated response (Hyperautomation)
- Torq SOC Brain learning layer
- Context Graph grounding AI decisions
- Torq Recall and Reflex learning from resolved cases
- Transparent audit logs and manual overrides
- Human-on-the-loop oversight for response actions
- Threat hunting with historical case cross-referencing
- Autonomous case creation, assignment, and management
- Stakeholder reporting and strike team deployment
- Multi-cloud alert triage (AWS, Azure, GCP)
- Cloud security misconfiguration and unauthorized access response
- Just-in-time access approval workflows
About Torq
Torq is an AI-native Security Operations Center (SOC) platform built for enterprise teams drowning in alerts. It uses agentic AI to triage, investigate, and respond to threats automatically, offloading repetitive work while keeping human analysts in control. Designed for SOCs handling 1000+ alerts daily, Torq aims to cut through alert fatigue, false positives, and analyst burnout by having AI handle the noise so humans focus on real risk. At the core sits Torq SOC Brain, a learning layer that captures context and memory from every decision and historical incident. The Context Graph grounds AI verdicts in a continuously updated model of your environment, while Torq Recall turns resolved cases into implicit learning and Torq Reflex improves judgment by learning from analyst corrections. This learning loop means accuracy compounds with every closed case, a differentiator versus static SOAR playbooks. Torq's suite covers the full lifecycle: Auto Triage de-duplicates and prioritizes alerts, HyperAgents run specialized investigations, Socrates enables natural language-driven autonomous remediation, and Hyperautomation handles agentic runbooks. Transparent audit logs and manual overrides keep you in control through every step. Threat hunting cross-references historical cases, and reporting keeps stakeholders informed with minimal manual effort. Gartner named Torq the company to beat in AI SOC Agents for Threat Investigation in May 2026, and KuppingerCole named it Overall Leader in its 2026 Leadership Compass for Emerging AI SOC. Unlike traditional SOAR tools, Torq embeds learning directly into the platform. It's cloud-only, best for sophisticated enterprise SOCs; smaller teams may find it heavy.
Behind the Verdict
Torq's key strength is its learning layer, the SOC Brain, which captures context and memory from every decision, grounding AI verdicts in a continuously updated model of your environment. This isn't just automation; it's a system that gets smarter with every closed case, directly addressing the core problem of alert fatigue and analyst burnout. The product suite covers the entire incident lifecycle: Auto Triage de-duplicates and filters false positives, HyperAgents conduct specialized investigations, Socrates enables natural language-driven remediation, and Hyperautomation handles agentic runbooks. The transparent audit logs and manual overrides ensure human control, which is critical for security teams. However, Torq is not for everyone. It's cloud-only, which rules out on-premises deployments. Pricing is custom, with no published tiers, which may exclude smaller teams. The platform requires significant initial configuration of integrations and AI agents, and there's a learning curve for advanced agentic features. If you're a small team under five analysts or prefer fully manual operations, Torq is likely overkill. Compared to traditional SOAR tools, Torq embeds learning directly into the platform, so it's a different category. For teams moving from SOAR, Torq offers a path to agentic AI, but be prepared for the investment in setup and ongoing tuning.
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Real-world workflow fit
Concrete scenarios for the personas Torq actually fits — and what changes day-one when you adopt it.
Receives 10,000 alerts daily, many false positives.
Outcome: Auto Triage de-duplicates and filters false positives, presenting only prioritized genuine threats, cutting analyst workload significantly.
Needs to reduce MTTR for critical incidents.
Outcome: Socrates autonomously remediates critical threats via natural language commands, slashing response time from hours to minutes.
Wants to quickly investigate a new threat pattern.
Outcome: HyperAgents cross-reference historical cases and summarize findings, accelerating the hunt and upleveling junior analysts.
Use Cases
- Automate alert triage and false-positive filtering for SOC analysts handling 10K+ alerts daily
- Orchestrate incident response across EDR, SIEM, and ticketing tools with autonomous runbooks
- Conduct agentic threat hunting with AI that cross-references historical cases and summarizes findings
- Streamline phishing response with AI enrichment, automated case creation, and remediation
- Automate cloud misconfiguration detection and remediation across AWS, Azure, and GCP
- Reduce mean time to respond (MTTR) with agentic AI that investigates and remediates automatically
- Automate IT operations like onboarding/offboarding and just-in-time access requests
- Provide self-service chatbots for common IT and security requests
Models Under the Hood
as of 2026-08-30
Limitations
- Torq is a security-focused agentic AI SOC platform, not a general-purpose automation tool.
- Its value depends on integrating and configuring the customer's existing security stack, and it requires human oversight for response actions.
- Pricing appears to be custom (no published tiers), which may exclude smaller teams.
- The platform's agentic features involve a learning curve and benefit from initial setup.
as of 2026-08-29
Verification history
We have re-verified Torq 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 19 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Torq's pricing actually pencils out — and where peers do it cheaper.
Torq's custom pricing targets enterprise SOCs that can justify the investment for AI-driven triage and response. For smaller teams, lighter SOAR tools like Swimlane or Splunk SOAR may be more cost-effective, but Torq's learning capabilities offer a differentiator that can translate into ROI for high-volume SOCs.
Setup time & first value
How long it actually takes to get something useful out of Torq — broken out by persona, not the marketing-page minute.
Enterprise SOC teams can expect a few weeks to configure integrations, set up AI agents, and tune the SOC Brain. For smaller teams, the learning curve may extend to a month or more to achieve full value.
Switching to or from Torq
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From traditional SOAR (e.g., Splunk SOAR, Swimlane): Torq offers a migration path by replacing playbooks with agentic runbooks, but requires re-implementing workflows.
- →From manual processes: You can start with Auto Triage in a pilot to demonstrate value before expanding to full autonomous response.
- ↗To traditional SOAR: You would need to export case data and rebuild playbooks, which is feasible but complex.
- ↗To another AI SOC platform: Data portability depends on API access, but you'd need to recreate your context model and integrations.
Integrations
Resources & Guides
- Resourcetorq.io
Agentic AI Security Guardrails: A Deployment Guide for SOC Leaders
Agentic AI is already operating in the SOC. Here's how to deploy it with the right security guardrails — and what goes wrong when you don't.
- Resourcetorq.io
Torq Acquires Jit: The Grounding Layer the AI SOC Has Been Missing
Torq has acquired Jit to advance agentic risk contextualization in the AI SOC. See why the Torq Context Graph is the grounding layer that changes everything.
- Resourcetorq.io
AI SOC Metrics That Actually Matter: How to Measure Whether AI Is Working in Your SOC
Which AI SOC metrics prove your investment is working? MTTI, MTTR, autonomous closure rates, and the board reporting framework to back them up.
- Resourcetorq.io
Five Essential Elements of Security for Modern Security Teams in 2026
Discover the five essential elements of security in 2026 every security team must operationalize.
Tutorials & Learning
Official links
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