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Torq Agents

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Enhance SOC efficiency with AI-driven threat resolution.

Free
Paid |
$$$
Agents Security AI Detection

Overview

Torq Agents is the world's first multi-agent system for the Security Operations Center (SOC), designed to enhance SecOps efficiency and precision through AI agents that collaborate, plan, and reason autonomously to analyze and resolve security threats.

Key Features:

  • The Collaborative Multi-Agent Framework for Security Operations allows AI agents to work together to autonomously analyze and resolve security threats.
  • The AI SOC Analyst, known as the Socrates Agent, autonomously remediates cases based on human-defined runbooks and collaborates with human analysts through natural language chat.
  • The Builder Agent rapidly generates custom security automation workflows using large language models, supporting over 300 integrations and 4,000 pre-built steps.
  • The Scripting Agent simplifies the creation of advanced automations with AI-generated coding logic and syntax, reducing troubleshooting efforts.
  • The Case Management Agent automatically generates AI case summaries, prioritizing cases faster and reducing mean time to resolution (MTTR).
  • The Data Agent translates natural language prompts into JQ commands for JSON transformations, ensuring data compatibility and precise control over data flows.
  • The Task Agent allows for the creation of custom tasks within workflows using natural language prompts and supports various AI models like GPT 4.0 and Gemini 1.5 Pro.

Benefits:

  • Achieve unprecedented efficiency and precision in security operations by leveraging AI agents that autonomously handle threat analysis and resolution.
  • Streamline threat response processes with hyperautomated workflows, maintaining control over AI actions while enhancing operational speed.
  • Reduce the time and expertise required for creating and managing security automation workflows, thanks to AI-generated suggestions and coding assistance.

Use Cases:

  • Security Operations Centers can utilize Torq Agents to autonomously manage and resolve security threats, enhancing overall security posture.
  • Organizations can rapidly develop and deploy custom security automation workflows, integrating seamlessly with existing systems and processes.
  • Security analysts can prioritize and manage cases more effectively with AI-generated summaries and insights, leading to faster threat mitigation.

Capabilities

  • Autonomously triages, investigates, and remediates threats
  • Accelerates incident response
  • Handles the majority of everyday attacks and alerts
  • Decreases manual security case investigations
  • Increases SOC analyst resource utilization
  • Decreases workflow errors
  • Analyzes security incidents and assesses required agents for mitigation
  • Breaks down tasks and sequentially coordinates and assigns elements to specialized agents
  • Learns from each incident engagement to better solve novel problems
  • Functions as a virtual Tier-1 SOC analyst
  • Hyperautomates alert triage, validation, and classification
  • Provides contextual data enrichment
  • Facilitates incident investigation, escalation, and response
  • Rapidly creates custom security automation workflows using natural language input
  • Generates simple to complex workflows
  • Reduces implementation time and effort
  • Troubleshoots security issues
  • Prioritizes cases faster with automatically generated AI case summaries
  • Analyzes comprehensive case data, including associated events, observables, case notes, attachments, and similar historical cases
  • Identifies and understands the nature of threats quickly
  • Takes decisive action to mitigate risks faster, reducing overall MTTR
  • Creates custom tasks with natural language prompts
  • Analyzes, correlates, and organizes unprocessed events from any security solution or third-party threat intelligence
  • Creates contextually-enriched cases and intelligently orders them according to severity, priority, and subject matter expertise
  • Autoremediates Tier-1 cases by leveraging AI to execute SOC-defined automation runbooks
  • Optimizes case investigations and alert enrichment through AI-driven natural language processing
  • Elevates SOC analysts' capabilities by using AI to trigger complex remediations and make better-informed decisions
  • Examines recipients, email content, links, attachments, IOC reputations, and related case and threat information to determine scope and impact
  • Executes environment-wide sweeps for malicious payloads and correlates data to reveal compromised accounts or systems
  • Initiates containment steps such as quarantining emails, resetting credentials, terminating sessions with enforced MFA, and blocking malicious domains or IPs
  • Analyzes file behavior, monitors endpoint resource usage, and detects suspicious persistence mechanisms or privilege escalations
  • Correlates anomalies across multiple endpoints to identify the scope of compromise, pinpointing infected hosts, associated IOCs, and potentially affected privileged accounts
  • Swiftly isolates infected endpoints, disables compromised accounts, and kills malicious processes
  • Adds malicious file hashes and IP addresses to deny lists for continuous monitoring
  • Removes malicious files, cleans up affected systems, or re-images endpoints, ensuring a thorough remediation

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