AI Agents automate SOC operations 24/7.

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April 16, 2026

Torq Agentic AI

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AI Agents automate SOC operations 24/7.

Agent Security Operations Center Agentic AI Threat Investigation AI In Cybersecurity Hyperautomation

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Overview

Torq Agentic AI for Security Operations is an advanced tool specifically designed to enhance security operations centers' (SOC) efficiency. It employs specialized AI agents to triage alerts, investigate threats, and automate responses in real-time.

These agents not only plan and reason but also act autonomously to investigate and remediate issues using hyperautomation. By doing so, the tool allows the SecOps team to gain control while significantly boosting their capacity.

The Torq HyperAgents, which are part of this platform, automate repetitive tasks and infuse agentic reasoning into security workflows to expedite analysis, response, and communication.

The AI agents can also interact together and expand the capabilities of security operations with their specialized skills. Agentic analysis offloads repetitive tasks, heightening speed and scale to deal more accurately with alerts across the entire threat lifecycle.

The platform, Torq Socrates, serves as the core orchestrator on the platform. It coordinates the work of HyperAgents across the threat lifecycle, which results in faster security operations end-to-end.

Socrates also manages a force of specialized AI agents to investigate threats, take actions, and improve the existing team of experts by learning from historical data and recognizing patterns to adapt to emerging threats.

Socrates can also initiate response actions across the security stack, reducing Mean Time to Resolution (MTTR), containing threats, and ensuring a more efficient use of the human resources for high severity threats.

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December 11, 2024

Initial release of Torq Agentic AI.

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Pros and Cons

Pros

Security operations enhancement

Real-time threat responses

Hyperautomation deployment

Increases SecOps team control

Boosts security capacity

Automates repetitive tasks

Enhances speed and scale

Covers entire threat lifecycle

Orchestrates work of HyperAgents

Improves team with learning

Reduces Mean Time to Resolution

Human resource efficiency improvement

Offers Agentic analysis

Implementable alert triage

Adaptive learning and pattern recognition

Specialized in threat investigation

Streamlines security orchestration

24/7 SOC operations automation

Agentic reasoning in workflows

Initiates response actions

Auditable logs of actions

Real-world results feedback loop

Infuses agentic reasoning into workflows

Offloads repetitive tasks

Context-aware action execution

Faster end-to-end security operations

Autonomous threat remediation

Natural language command capability

Contains threats efficiently

Threat hunting with precision

Enhanced communication and collaboration

Multi-agent coordination

Investigates and remediates issues

Expands SOC Capacity

Agents learn from history

Automated runbooks execution

Threat prioritization decisions

Handles Tier-1 security alerts

Declarative Instruction for HyperAgents

Agentic case management

Transparency in decision making

Accelerates incident response

Seamless agent interaction

Proactive threat hunting

Customizable templates available

Reasoning and action visibility

View 41 more pros

Cons

Limited adaptability to edge cases

Requires manual tuning upkeep

Dependency on human-on-loop confirmation

Limited to SOC-related operations

Over-reliance on historical data

HyperAgents require specific instructions

View 1 more cons

Q&A

What does Torq Agentic AI for Security Operations do?

Torq Agentic AI for Security Operations is designed to enhance the efficiency of security operations centers (SOC). It utilizes specialized AI agents to sort out alerts, scrutinize threats, and automate responses in real-time. These AI agents plan, reason, and autonomously act to investigate and rectify issues using hyperautomation.

How does Torq Agentic AI improve SOC efficiency?

Torq Agentic AI improves SOC efficiency by automating repetitive tasks, accelerating analysis, response, and communication. It enables the SecOps teams to gain control and significantly increase their capacity. It utilizes agentic analysis to scale up and deal more accurately with alerts through the whole threat lifecycle.

What are the roles of specialized AI agents in Torq Agentic AI?

In Torq Agentic AI, specialized AI agents are responsible for alert triage, threat investigation, and automating real-time responses. They plan, rationalize, and act independently to study and remedy issues by employing hyperautomation. They have an ability to interact with each other, which expands the capabilities of the security operations.

What is the role of hyperautomation in Torq Agentic AI system?

Hyperautomation is an integral part of the Torq Agentic AI system. It is instilled in the AI agents, also known as Torq HyperAgents, to automate repetitive tasks and execute context-aware actions to speed up analysis, response, and communication in security workflows.

Can the AI agents of Torq Agentic AI interact together?

Yes, the AI agents of Torq Agentic AI have the capacity to interact with each other. Their interaction aids in expanding the capabilities of security operations with their specialized skills.

What is the purpose of Torq HyperAgents?

Torq HyperAgents play a crucial role in infusing agentic reasoning into security workflows. They are designed to automatically carry out repetitive tasks and execute context-aware actions which help accelerate analysis, response, and communication in security operations.

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What is the function of Torq Socrates on the platform?

Torq Socrates serves as the central orchestrator on the Torq platform. It manages the work of HyperAgents across the threat lifecycle, resulting in faster security operations from start to finish. Socrates handles a force of specialized AI agents to investigate threats, take actions, and improve the existing team of experts by learning from historical data.

How does Torq Socrates manage to reduce MTTR?

Torq Socrates contributes to reducing Mean Time to Resolution (MTTR) by initiating response actions across the security stack. This action contains threats, ensuring a more efficient use of human resources for high severity threats and leading to lower resolution times.

How does Torq's AI platform automate SOC operations?

Torq automates SOC operations through its specialized AI agents. They work 24/7 to triage alerts, investigate threats, and automate responses as soon as they arise. The system integrates hyperautomation to automate repetitive tasks, enhance analysis, response, and communication, and offload these tasks from security staff.

What are the benefits of having Torq HyperAgents in my SecOps team?

Incorporating Torq HyperAgents into your SecOps team can bring multiple benefits. They automate repetitive tasks, thus freeing up your team to focus on high-priority issues. They also efficiently manage tasks within the threat lifecycle, leading to faster security operations. Additionally, HyperAgents can interact and expand the capabilities of security operations with their specialized skills.

How do AI agents infuse agentic reasoning into security workflows?

In the Torq Agentic AI system, AI agents infuse agentic reasoning into security workflows by automating repetitive tasks, accelerating analysis, response, and communication. They act autonomously, planning, and reasoning to investigate issues using hyperautomation.

How does the Torq Agentic AI system adapt to emerging threats?

The Torq Agentic AI system, through its core orchestrator - Torq Socrates, adapts to emerging threats by learning from historical data and recognizing patterns. This allows for continuous updates and adaptations to counter evolving threats.

Can I customize and create my own AI agents using Torq Agentic AI?

Yes, Torq Agentic AI provides the feature to customize and create your unique AI agents specific to your security context and use cases. This is carried out using a library of pre-built templates.

How does Torq Socrates coordinate the work of HyperAgents across the threat lifecycle?

In the Torq AI SOC Platform, Torq Socrates coordinates the work of HyperAgents across the threat lifecycle. It organizes specialized HyperAgents to investigate, reason, and take action in a streamlined manner. The outcome is faster, end-to-end security operations.

Can Torq Socrates initiate response actions across the security stack?

Yes, Torq Socrates is designed to take over and initiate response actions across the security stack. These actions help to reduce the Mean Time to Resolution (MTTR), contain threats, and ensure efficient usage of human resources for high-severity threats.

What is agentic analysis and how does it help in dealing with alerts?

Agentic analysis is an integral component of the Torq Agentic AI system. It aids in significantly offloading repetitive tasks from security staff, which in turn increases speed and scale to deal more accurately with alerts across the entire threat lifecycle.

How does Torq Agentic AI help in threat investigation?

Torq Agentic AI assists in threat investigation by leveraging its special AI agents to investigate threats, remove bottlenecks, and augment an organization's team of experts. The platform learns from historical outcomes and recognizes patterns to adapt to emerging threats.

How does Torq Agentic AI automate responses in real time?

Torq Agentic AI is able to automate responses in real time through its specialized AI agents. These agents plan, reason, and work autonomously to investigate and rectify issues instantly using hyperautomation.

What is agentic case management in the context of Torq Socrates?

In the context of Torq Socrates, agentic case management refers to an instant access system for your team to gather case summaries, timelines, and evidence all from a single source of truth. This allows for quick communication, easier collaboration, and streamlined decision-making.

How can I use Torq Agentic AI for real-time network security and cybersecurity?

Torq Agentic AI offers robust real-time network security and cybersecurity by leveraging specialized AI agents and hyperautomation. These elements work together to triage alerts, investigate threats, and automate responses rapidly. It allows for greater control, efficiency, and accuracy in handling threats across the whole threat lifecycle.

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