Torq
AI SOC platform for agentic triage, investigation, and response
Torq is the leading enterprise AI SOC platform, but it's built for scale. If your SOC handles 1000+ alerts daily and wants agentic automation, it's a strong choice. Smaller teams may find it over-engineered and pricey.
- Enterprise SOC teams handling 1000+ alerts daily seeking AI-native automation
- Security operations aiming to reduce mean time to respond (MTTR) with agentic workflows
- Teams transitioning from traditional SOAR to agentic AI with transparent audit trails
- Organizations with multi-cloud environments needing unified, context-aware threat response
- Very small security teams (under 5 analysts) with simple, low-volume incident workflows
- Organizations requiring on-premises deployment (Torq is cloud-only)
- Teams preferring fully manual operations with no automation
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Skip Torq if you have a small SOC with fewer than 5 analysts and simple workflows, or if your organization requires on-premises deployment.
Torq uses custom enterprise pricing, which can be expensive for smaller teams. Unlike Splunk or Palo Alto Cortex XSOAR, which have published tiers, Torq requires a sales conversation. It's best for large enterprises with budgets to match.
In short
Torq — AI SOC platform for agentic triage, investigation, and response. Best for Enterprise SOC teams handling 1000+ alerts daily seeking AI-native automation, Security operations aiming to reduce mean time to respond (MTTR) with agentic workflows, Teams transitioning from traditional SOAR to agentic AI with transparent audit trails. Contact Sales pricing.
What's new in Torq
Checked 13 days agoAcross the latest 9 updates: 2 feature updates and 7 news mentions.
The Four Biggest Gaps in Today’s AI SOC Vendor Market
Classifies four types of vendors masquerading as true AI SOCs.
Surviving the AI SOC Apocalypse
Guidance on identifying AI SOCs that actually take action.
Torq Reflex: Teaching the AI SOC Judgment
Torq Reflex learns from analyst corrections to improve judgment.
Claude Mythos Broke the SOC. Agentic AI Fixes It.
Describes how agentic AI SOC addresses the Claude Mythos threat.
Context, Memory, and Learning in the AI SOC
Explains the foundational layers beneath SOC agents.
Recall Brings Implicit Learning to the SOC
Torq Recall turns resolved cases into automated triage precedent.
From Alert Triage to Remediation: The Actual AI SOC Lifecycle
Critique of triage-only tools; advocates full remediation lifecycle.
Grounding the AI SOC: The Context Graph Problem
Discusses how context graph quality determines agent reasoning.
Gartner® Names Torq as Company to Beat in AI SOC Agents for Threat Investigation
Gartner recognized Torq as leader in AI SOC threat investigation.
Viability Score
How likely is Torq to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Agentic alert triage with AI verdicts
- Natural language remediation via Socrates
- Autonomous case creation and assignment
- Context Graph for grounded AI decisions
- Torq Recall for implicit learning from resolved cases
- Torq Reflex for learning from analyst corrections
- HyperAgents for specialized investigations
- Hyperautomation with agentic runbooks
- Transparent audit logs for every AI action
- Human-on-the-loop oversight
- Threat hunting with cross-referenced historical cases
- Multi-cloud alert triage and response
- Phishing response automation
- Just-in-time access approval workflows
- Self-service chatbots for IT operations
About Torq
Torq is an AI-native Security Operations Center (SOC) platform that uses agentic AI to triage, investigate, and respond to threats at machine speed. Designed for enterprise SOC teams struggling with alert fatigue and staffing shortages, Torq offloads repetitive tasks to AI agents while keeping humans in the loop. The platform features a Context Graph that grounds every AI decision in a continuously updated model of your environment, and Torq Recall which turns resolved cases into implicit learning for future triage. Gartner named Torq the company to beat in AI SOC Agents for Threat Investigation (May 2026). Unlike traditional SOAR tools, Torq emphasizes autonomous agentic workflows with transparent audit logs and a natural language interface called Socrates for remediation. Recent additions like Torq Reflex (June 2026) improve accuracy by learning from analyst corrections. Torq also offers HyperAgents for specialized investigations and Hyperautomation for agentic runbooks. It integrates deeply with a wide range of security and IT tools including CrowdStrike, Wiz, Okta, Slack, and ServiceNow. The platform is cloud-only and best suited for large SOCs; smaller teams may find it over-engineered.
Behind the Verdict
Torq aims for the AI SOC vision more completely than most competitors. Instead of just triaging alerts, it handles the full lifecycle—investigation, response, and learning—via agentic AI. The Context Graph is a differentiator: it grounds AI decisions in a live model of your environment, reducing hallucination risk. Torq Recall and Reflex add implicit learning from past cases and analyst corrections, which should improve accuracy over time. However, this depth comes at a cost, likely licensing fees that assume large-scale deployments. If your SOC handles fewer than 500 alerts daily, you may pay for capacity you don't need. The platform is cloud-only, which may rule out on-premises requirements. Compared to traditional SOAR tools (Splunk SOAR, Palo Alto XSOAR), Torq offers more autonomy but less manual configurability—trade-offs to evaluate. For teams wanting to reduce MTTR and free senior analysts for hunts, Torq is a frontrunner. But if you want to heavily customize every workflow, stick with SOAR. We'd reach for this when alert volume is overwhelming and you trust AI enough to remediate with human oversight.
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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.
Handles 5,000 alerts per day, many false positives. Uses Torq's Auto Triage to filter noise and automatically escalate true threats.
Outcome: Reduces alert volume to 200 actionable incidents per day, saving 5+ hours per shift.
Investigates a phishing campaign using HyperAgents to cross-reference email, endpoint, and cloud logs.
Outcome: Contains the threat in minutes instead of hours, with a full timeline and recommended remediation actions.
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
Models Under the Hood
as of 2026-07-06
Limitations
- Torq is heavily security-focused, not a general-purpose automation platform.
- Pricing is custom only (no published tiers), which may exclude smaller teams.
- The platform requires initial configuration of integrations and AI agents to realize full value.
- Some advanced agentic features have a learning curve.
as of 2026-06-29
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 uses custom enterprise pricing, which can be expensive for smaller teams. Unlike Splunk or Palo Alto Cortex XSOAR, which have published tiers, Torq requires a sales conversation. It's best for large enterprises with budgets to match.
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.
Basic integration with your SIEM/EDR can be set up in a day. Full deployment with agent configuration and runbook customization takes 2-4 weeks for a mid-size SOC.
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 Splunk SOAR: Import existing playbooks via API and map data sources to Torq's Context Graph.
- →From Palo Alto Cortex XSOAR: Use Torq's migration tools to convert playbooks and integrate with existing connectors.
- ↗To custom in-house SOC: Export audit logs and case history via Torq's API.
- ↗To Splunk SOAR: Manually recreate agentic runbooks as playbooks; no direct export.
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.
Official links
Tools that pair well with Torq
Common stack mates teams adopt alongside Torq, with the specific reason each pairing earns its keep.
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