Torq Agentic AI

Agentic AI that triages, investigates, and remediates SOC alerts.

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Screenshot of Torq Agentic AI, Agentic AI that triages, investigates, and remediates SOC alerts

What is Torq Agentic AI?

Torq Agentic AI is a pattern recognition tool. Torq Agentic AI runs a coordinated team of AI agents across SOC triage, investigation, and response, with declarative controls, auditable reasoning, and human-on-the-loop oversight.

Torq Agentic AI is a security operations platform built around a team of specialized AI agents rather than a single assistant. Torq HyperAgents handle narrow jobs across the threat lifecycle: triage at the ingestion point, investigation with evidence collection, and response with containment and remediation. Torq Socrates acts as the omni-agent that coordinates the HyperAgents, runs case management, and keeps a shared record of summaries, timelines, and evidence. The design goal is to move routine Tier-1 work off analyst desks while leaving high severity decisions with people. The operating model is declarative. Administrators give each agent a role, a goal, and explicit instructions, then define which tools it can call, which data it can reach, and which decisions it is allowed to make. Reasoning and actions are logged for audit, and a human-on-the-loop checkpoint can gate response actions. Agent output feeds back into later reasoning, so results from real cases inform how the system handles the next one. Prebuilt templates shorten setup, and adaptive logic can be inserted inside deterministic workflows so edge cases do not break the process. The product is aimed at security operations centers in mid-size and large organizations, plus managed security providers running detection and response for clients. In practice, an alert arrives, the triage agent filters noise and assigns priority, HyperAgents enrich indicators and assemble a case, and Socrates coordinates remediation across the security stack, either autonomously or after confirmation. Analysts can query Socrates in natural language to summarize a case, enrich indicators of compromise, or trigger further action. Alternatives fall into two camps: SOAR platforms with automation and playbooks, and standalone AI copilots bolted onto a SIEM. Torq positions itself between them, arguing that agentic reasoning plus orchestration produces more than either alone. The Carvana testimonial on the homepage claims full coverage of Tier-1 alerts and dozens of runbooks automated within a month, which sets expectations for deployment speed that buyers should verify against their own environment.

How do you use Torq Agentic AI?

  1. 1Request a demo and scope your SOC use cases
    Start from the homepage demo form and describe your alert volume, tool stack, and which lifecycle stages (triage, investigation, response) you want agents to cover.
    Torq Agentic AI — Request a demo and scope your SOC use cases
  2. 2Review the governance model before granting access
    Read the AI governance page to understand guardrails, human-on-the-loop checkpoints, and audit expectations, then map them to your own policy requirements.
    Torq Agentic AI — Review the governance model before granting access
  3. 3Define agent roles and permissions
    Inside the platform, give each HyperAgent a role, a goal, and instructions, and specify which tools it can use, which data it can access, and which decisions it may make.
  4. 4Customize templates for your security context
    Begin from the prebuilt template library and adapt agents and workflows to your environment instead of building from a blank page.
  5. 5Connect your security stack and test on live alerts
    Wire in alert sources, enrichment tools, and response systems, then run agents in a human-on-the-loop mode so analysts can confirm actions before full autonomy.

Pros and cons

Pros

  • Clear division of labor between HyperAgents for narrow tasks and Socrates for orchestration and case managementAI
  • Declarative setup lets teams define agent roles, tool access, data scope, and decision limitsAI
  • Transparent, auditable logs of agent reasoning and actions support governance and reviewAI
  • Natural language collaboration with agents for case summaries, indicator enrichment, and response triggersAI
  • Prebuilt templates and adaptive logic inside deterministic workflows reduce setup and tuning effortAI

Cons

  • No public pricing, so cost must be established through a sales conversation and demo requestAI
  • The homepage offers no free trial or self-serve signup, which slows hands-on evaluationAI
  • Most claims are product descriptions or vendor testimonials rather than independent benchmarksAI
  • Heavy reliance on AI agents raises model governance and data access questions that buyers must audit themselvesAI
  • Value depends on connecting the security stack; integration details are not documented on this pageAI

How much does Torq Agentic AI cost?

Features

HyperAgents for triage, investigation, and response; Socrates omni-agent for orchestration and case management; declarative agent instructions; auditable reasoning logs; multi-agent orchestration; customizable templates; adaptive logic inside deterministic workflows; natural language case summaries and indicator enrichment; proactive threat hunting.

Frequently asked questions about Torq Agentic AI

  • How do you use Torq Agentic AI?
    The walkthrough on this page covers 5 steps: 1. Request a demo and scope your SOC use cases 2. Review the governance model before granting access 3. Define agent roles and permissions 4. Customize templates for your security context 5. Connect your security stack and test on live alerts.
  • What platforms does Torq Agentic AI support?
    Torq Agentic AI is available on Web App.
  • What are the limitations of Torq Agentic AI?
    No public pricing, so cost must be established through a sales conversation and demo request. The homepage offers no free trial or self-serve signup, which slows hands-on evaluation. Most claims are product descriptions or vendor testimonials rather than independent benchmarks.

Status

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Added10/21/2026

Platforms

Web App

Pricing

Paid