Torq

Score10 out of 10

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What is Torq?

Torq AI SOC Platform automates security operations across alert triage, investigation, case management, and response. The platform combines agentic artificial intelligence with Hyperautomation to correlate security events, assess risk, gather evidence, coordinate investigations, and execute approved remediation actions. Product source

Key Capabilities

Universal Auto Triage: Ingests and normalizes telemetry from security tools, correlates and deduplicates events, and separates false positives from actionable threats using risk context and threat intelligence.
AI Investigation Agents: Assigns cases to specialized, configurable agents that gather evidence, build timelines, and summarize findings.
Case Management: Maintains evidence, timelines, case summaries, and remediation activity in a centralized case record.
Torq HyperAgents: Provides autonomous and customizable agents for routine security operations tasks and workflow execution.
Socrates Coordination: Uses a natural-language interface to coordinate specialized agents and manage cases through the threat lifecycle.
Automated Response: Supports containment, coordination, remediation, and case closure through agentic response actions.
Security Hyperautomation: Connects security tools through prebuilt integrations and workflow steps, while supporting custom integrations and use cases.

Audience & Use Cases

Audience: Security operations center (SOC) managers, security analysts, incident responders, detection engineers, and managed security service providers (MSSPs).
Use Case: Reducing alert noise, automating repetitive investigations, coordinating multi-step incident response, documenting case evidence, and allowing analysts to focus on threat hunting and higher-risk decisions.

Technical Specifications

Operating Model: Agentic SOC platform covering triage, investigation, response, and case closure.
Core Components: Auto Triage, Case Management, Torq HyperAgents, Socrates, and Hyperautomation.
Automation Controls: Configurable agents, analyst-directed workflows, evidence-based reasoning, and automated or supervised response actions.
Integration Model: Security-stack integrations for telemetry ingestion, enrichment, investigation, and remediation.
Data Handling: Event normalization, correlation, deduplication, threat-intelligence enrichment, timeline construction, and case summarization.