AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published Jun 23, 2026·Updated Jul 30, 2026
Independently verified against live vendor data on Jul 20, 2026.

Torq is an AI SOC platform where AI agents triage, investigate, and respond to security threats autonomously. Built for enterprise security teams with Hyperautomation for workflow orchestration. Custom pricing.

How we scored it

Autonomy

4/5

Integrations

4/5

Pricing clarity

1/5

Evidence

5/5

Setup

2/5

The facts

From

Custom

custom

GitHub

Stars

G2

4.8 / 5

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Torq is an AI-powered Security Operations Center platform that deploys autonomous AI agents to handle the full lifecycle of security threat management. It serves enterprise security teams, SOC analysts, and CISOs who need to reduce alert fatigue, eliminate false positive investigation time, and accelerate mean time to respond without proportionally scaling headcount. The platform is trusted by major enterprise security teams and was named by Gartner as the company to beat in AI SOC Agents for threat investigation. The AI capabilities are purpose-built for security operations across three core functions. Alert triage agents analyze, correlate, and enrich unprocessed security events at machine speed, separating genuine threats from noise without human intervention. Investigation agents chase down answers on complex prioritized cases using tools specified by the security team, always showing their work so analysts can verify reasoning. Response automation through Socrates, the natural language interface, lets analysts describe desired responses conversationally and execute them immediately. Hyperautomation extends these capabilities into full security workflow orchestration across the tool stack. Torq integrates with the enterprise security ecosystem including SIEM platforms, endpoint detection and response tools, cloud security platforms like Wiz, identity providers, and ticketing systems, connecting detection to defense across the security stack. Torq was the first autonomous SOC platform to natively support the Model Context Protocol (MCP): its AI agents act as MCP clients, connecting to external security tools to discover and invoke their actions. Integrations are focused exclusively on the security domain rather than general business applications, so teams needing automation across marketing, sales, or general IT workflows will find Torq too specialized. Pricing is entirely custom with no public pricing page, and all engagements start with a demo request. This is typical for enterprise security platforms but makes cost comparison difficult for teams evaluating alternatives. There is no free tier or self-serve trial. Teams that need general-purpose workflow automation rather than security-specific orchestration should evaluate Tines, which offers a freemium plan with a no-code builder that works across security, IT, and business workflows. Organizations looking for enterprise integration and automation with MCP server support should consider Workato, which serves as the orchestration layer for AI agents across all business functions. Teams on a budget that need security workflow automation alongside general automation should look at n8n at $20/mo billed annually or Make.com at $9/mo billed annually, which offer security-relevant integrations within broader automation platforms. As of Q3 2026, Torq is headquartered in Denver, Colorado, and holds SOC 2 Type II, GDPR, CCPA, and HIPAA compliance, with a HIPAA Business Associate Agreement available for covered entities. The AI data training policy is not explicitly disclosed in the privacy policy. Torq focuses exclusively on security operations, making it the most specialized tool in the workflow automation category.

Pricing

custom

Segment

enterprise

Setup

complex

Verified

Jul 20, 2026

Transparency

Not Public

Contract

Annual Only

Data training

Not Disclosed

Autonomy

Human Optional

Capabilities

autonomousworkflow-builderdata-analysisreportingintent-detection

Pros & Limitations

Editorial assessment

Pros

  • AI agents autonomously triage, investigate, and respond to security threats at machine speed, reducing alert fatigue and false positive investigation time that burns out SOC analysts.
  • Socrates natural language interface lets analysts describe desired security responses conversationally and execute them immediately, lowering the skill barrier for complex incident response.
  • Hyperautomation orchestrates entire security workflows across the tool stack, connecting detection platforms like Wiz to response actions without requiring manual playbook execution.

Limitations

  • No public pricing page and no free tier or self-serve trial means teams cannot evaluate Torq without committing to a sales process and demo cycle.
  • Deploying Torq means integrating it across an existing security stack (SIEM, EDR, cloud, identity, and ticketing) and tuning agents over 2 to 4 weeks, so its value depends on a mature security toolset already being in place.
  • Exclusively focused on security operations with no general-purpose automation capabilities, making it unsuitable for teams that need workflow automation across marketing, sales, HR, or IT functions.

Technical Details

Deployment
cloud
Avg setup time2 to 4 weeks for initial deployment (security tool integration, playbook configuration, agent tuning); ongoing optimization over 1 to 3 months
Integrations
WizCrowdStrikeSentinelOneSplunkMicrosoft SentinelOktaPagerDutyServiceNowJiraSlack
Security
SOC 2 Type IIGDPRCCPAHIPAA

Similar agents

Rating

4.1/ 5

Editorial score

How we score this →

Recognition

Listed 2026
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Industries

EnterpriseFinanceHealthcareCloudB2B

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