Torq

What Torq does

Torq is the AI SOC platform that combines agentic insights and automation so that enterprises can triage, investigate, and respond to actual risks, faster. Working alongside your SecOps team, Torq streamlines every step from alert through resolution. The platform analyzes your risk context to identify your biggest threats and integrates with your entire security stack to turn alerts into action. Torq is the de facto leader of the AI SOC space, offering complete threat lifecycle management from alert through remediation by fusing agentic reasoning and Hyperautomation to contextualize risk and surface what matters most. The platform enriches, investigates, and acts — freeing analysts to focus on critical threats while it closes cases. Torq was founded in 2020 to rewrite the rules of security operations with the industry’s first enterprise-grade Hyperautomation platform, and has since evolved to lead the autonomous SOC era with its AI SOC platform.

Products

• Torq AI SOC PlatformA comprehensive platform that combines agentic insights and automation for security operations, streamlining alert triage, investigation, and response. It manages the entire threat lifecycle from alert through remediation, utilizing AI Agents and Hyperautomation.
• Universal Auto TriageThe agentic AI engine within the Torq platform that prioritizes threats and separates noise from actual risk, learning and remembering how a SOC works for accuracy and speed.
• Case ManagementA native feature of the Torq platform that provides an always-updated single source of truth with evidence, timelines, and case summaries, simplifying collaboration from investigation through remediation.
• Torq HyperAgents™A group of autonomous, transparent, and customizable AI Agents that transform SecOps workflows, adapting to use cases, automating routine tasks, and simplifying workflow design.
• SocratesThe natural language-driven Agentic AI that coordinates specialized AI Agents, manages cases end-to-end, and augments security teams through natural language for faster action and autonomous remediation of critical threats.
• HyperautomationA capability within the Torq platform that uses integrations with the security stack to simplify, unify, and accelerate workflow automation at scale, including 300 pre-built integrations and 4,000+ pre-built steps.
• Torq HyperSOC™An advanced version of the platform that enables autonomous SOC operations through intelligent agent coordination and machine-speed response capabilities, fusing AI-powered SOC intelligence with hyperautomation.

Key capabilities

• AI Agents for threat detection and analysis
• Agentic de-duplication of events and false positive filtering
• Crystal-clear AI verdicts for threat prioritization
• Transparent audit logs and manual override options
• Autonomous case creation, assignment, and management
• Orchestration of specialized AI Agents for investigation
• Evidence, timelines, and recommended actions recording
• Agentic response actions for threat containment and remediation
• Human-on-the-loop oversight for response actions
• Agentic runbooks for threat hunting
• Cross-referencing historical cases and recognizing threat patterns
• Context model for grounding agentic decisions
• Continuous updates to the context model
• Capture of verdicts, decisions, exceptions, and overrides with context
• Cases Dashboards with custom widgets and filtering by MITRE ATT&CK mapping and security context
• Team-based case assignment and filtering by Group assignee
• Native data connectors for endpoint security (SentinelOne, Microsoft Defender)
• Organization Viewer role for read-only access to org-level data
• Org-managed roles for consistent custom role management across workspaces
• Built-in security fields for investigation-ready context schema on cases
• MITRE ATT&CK Tactics and Techniques as structured fields on every case
• Scalable team-based access control to restricted cases dashboards
• Ingestion and normalization of telemetry from across security stack
• Correlation and deduplication of events
• Analysis of risk context and threat intel for verdicts
• Automated evidence gathering, timeline assembly, and findings summarization
• Autonomous remediation of cases (over 90% of cases)
• 300 pre-built integrations and 4,000+ pre-built steps
• AI-powered integration and step completion assistant
• Natural language processing for alert triage
• ML-based threat scoring
• Contextual alert enrichment
• Automated false positive filtering
• Dynamic priority assignment
• Multi-source correlation
• Automated evidence collection
• Timeline reconstruction
• Asset impact analysis
• IOC expansion and hunting
• Threat attribution
• Forensic data preservation
• AI-driven response engine for containment and remediation
• Endpoint isolation & quarantine
• Network segmentation
• User account management
• Automated threat blocking
• Stakeholder notification
• Cloud-native, zero trust architecture
• Multi-Cloud Event Ingestion (AWS, Azure, GCP, Kubernetes, Docker)
• Intelligent Alert Correlation across infrastructure layers
• Policy-as-Code Integration (CloudFormation, Plumi, Terraform)
• Automated Vulnerability Triage with CVE data correlation
• DevSecOps Pipeline Integration (Jenkins, GitLab, GitHub Actions, Azure DevOps)
• Cloud Compliance Automation (SOC 2, PCI DSS, GDPR, HIPAA)
• Container & Kubernetes Security
• Automated Remediation with AI agents
• Real-time API monitoring for uninterrupted automations
• Flexible ingestion pipelines for threat intelligence
• AI for data extraction, normalization, and inference in threat intelligence
• Dynamic Threat Prioritization based on risk-based scoring
• Continuous Configuration Monitoring for cloud infrastructure
• Automated triage and remediation of misconfigurations
• CIS/NIST framework alignment
• Multi-cloud platform support for misconfiguration management
• Configuration drift detection
• Policy-based automation for configuration remediation
• IaC template updates and rollback capabilities
• Enterprise Single Sign-On and Multi-Factor Authentication integration
• Role-Based Access Control (RBAC)
• Secure Immutable Infrastructure
• Zero Trust Access to Distributed Environments
• Network isolation of production environments
• Audited activity and historical records
• Hosting on GCP and AWS
• Application security reviews throughout development cycle

Use cases

• Triage security events and filter false positives
• Manage and assign security cases
• Investigate complex security cases faster with AI Agents
• Respond to critical threats autonomously or with human oversight
• Threat hunting with agentic runbooks
• Reporting on security actions and impact
• Mitigating alert fatigue, false positives, staff burnout, and attrition
• Accelerating threat detection, investigation, and response
• Reducing analyst workload in SOC operations
• SOC Incident Response
• Phishing Investigation & Response
• Contextual Threat Intel Enrichment
• Cloud Misconfiguration Detection & Remediation
• Identity Threat Detection and Response
• Multi-Cloud Security Operations
• Employee Onboarding and Offboarding
• Just-in-Time (JIT) Access
• Self-Service Employee Chatbots
• Automating security workflows and processes
• Managing vulnerability across cloud and application environments
• Ensuring compliance across cloud platforms
• Automating security gates in DevSecOps pipelines
• Continuous monitoring and enforcement of compliance frameworks
• Runtime threat detection and workload policy enforcement in containers/Kubernetes
• Automated IOC analysis
• Automated correlation and enrichment of threat intelligence
• Prioritizing threats based on organizational context
• Automated configuration remediation in cloud environments

AI approach

Torq is an AI SOC platform that uses AI agents and hyperautomation to triage, investigate, and respond to security risks. It leverages AI for alert analysis, correlation, enrichment, case management, and autonomous remediation. The platform includes proprietary AI engines like Universal Auto Triage and Socrates, a natural language-driven Agentic AI. It also uses AI for data transformation, threat intelligence analysis, and dynamic prioritization.

Tech named: AI SOC, Hyperautomation, Agentic SecOps, AI Agents, Socrates (natural language-driven Agentic AI), Universal Auto Triage (agentic AI engine), Torq HyperAgents, ML-based threat scoring, Natural language processing, JQLib, Python, AI-powered integration and step completion assistant, AI-driven normalization, AI for data extraction, normalization, and inference, AI-driven threat analysis, Advanced Behavioral Analytics

Industries served

• Computer and Network Security
• Automotive Retail
• Consumer Goods
• Real Estate
• Financial Services
• Managed Security Service Providers (MSSP)
• Managed Detection and Response (MDR)
• Fast Fashion Retail
• Transportation (trains and signaling systems)

What it says sets it apart

• First enterprise AI SOC Context Graph
• Agentic insights and automation
• AI Agents for threat investigation
• Hyperautomation platform
• Socrates, a natural language-driven Agentic AI for autonomous remediation
• Complete threat lifecycle management from alert through response
• Proprietary tech for Universal Auto Triage that learns SOC operations
• Autonomous, transparent, and customizable Torq HyperAgents™
• 300 pre-built integrations and 4,000+ pre-built steps
• Ability to build new integrations, workflows, and custom use cases with AI Agents
• Deterministic and agentic reasoning, multiagent system, and model context protocol integration
• Proven innovation with high recommendation rates and Gartner Peer Insights ratings
• Ability to reduce analyst workload by 90%
• 50% faster mean time to detection (MTTD)
• 90% of responses automated
• 35% reduction in breach probability
• AI-powered alert triage with natural language processing and ML-based threat scoring
• Autonomous investigation with automated evidence collection and timeline reconstruction
• AI-driven response engine for contextual containment and remediation
• Cloud-native, zero trust architecture
• 10x improvement in time to resolve cloud/AppSec issues
• Over 5x ROI on Cloud / AppSec architects’ time investment
• Seamless integration with IaC tools for security policy validation
• Correlation of CVE data with runtime context for vulnerability prioritization
• Integration with CI/CD platforms for security gates
• Continuous monitoring and enforcement of compliance frameworks
• Deep integration with container security platforms and Kubernetes APIs
• 10x faster IOC analysis
• 95% compliance automation for cloud misconfigurations
• SOC 2 Type II, HIPAA, GDPR, and BSI C5 compliant
• Enterprise-grade security services including SSO, RBAC, immutable infrastructure, and Zero Trust access
• Uncompromising security-first methodology in engineering
• Ability to close 95% of Tier 1 cases autonomously
• 3-5x increase in alert handling capacity
• Up to 90% reduction in investigation time for alerts requiring human involvement
• AI-powered integration and step completion assistant for bespoke connectors
• JQLib and Python for data transformation pipelines
• Goal-oriented planning and contextual execution capabilities for HyperAgents
• Customizable state transitions and SLAs for case management
• AI-generated case summaries and real-time human-AI chat collaboration with Socrates
• Professional Services (JumpStart and Turnkey models) for accelerated ROI and implementation

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.