Torq Introduces New Agentic Builder for SOC Workflows

Torq launches Agentic Builder, enabling SOC teams to turn natural language intent into AI-driven security workflows and agents.

Written By
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Jordan Smith
Jordan Smith
Mar 18, 2026
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Torq, an agentic security operations leader, has announced the debut of Agentic Builder, which turns human intent into agentic outcomes.

Delivering production-grade agentic workflows

An extension of the Torq AI SOC Platform, the Builder enables SOCs to shift the cognitive load of engineering security automation from humans to machines. 

The Agentic Builder delivers Cursor-level capabilities to eliminate all barriers, enabling production-grade agentic workflows and AI Agents that manage unlimited alerts 24×7, integrate with every level of the enterprise stack, streamline investigation, and respond at machine speed.

“After successfully delivering AI capabilities that have freed SOC analysts from overwhelming alerts, false positives, and fatigue, Torq now liberates SecOps engineers and architects from the manual tedium that delays value realization,” said Ofer Smadari, CEO and co-founder, Torq. 

“It eliminates the historic tradeoff between speed and control by enabling teams to design and operationalize sophisticated AI-driven security workflows through specific intent. What once took months of engineering and endless maintenance can now be realized in minutes, with built-in validation, governance, and continuous learning. It’s a fundamental redesign of how security operations are conceived, built, and scaled. Torq is ensuring defenders move faster than attackers – autonomously, intelligently, and without limits.”

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Agent Builder automatically plans and builds according to past workflows and unique needs

Agentic Builder works like this:

  • Security professionals describe the intent of any security outcome in natural language, prompting Agentic Builder to address anticipated security events and ensure that the correct semantic memory, business context, organizational security standards, and tools are implemented.
  • Assignments are planned by Agentic AI based on previous agentic workflows. The builder then selects tools and integrations, defines parameters and guardrails, implements orchestration logic, and generates custom Torq AI Agents.
  • Torq Socrates tests the Torq AI Agent before it’s launched against real-world data, illustrates step-by-step actions and outputs, and validates potential results – such as email previews, case descriptions, and UI screens – which allows security professionals to refine behavior until it precisely matches organizational standards.
  • Torq Socrates continuously monitors the execution of the new Torq AI Agents and agentic workflows in production, auto-calibrates to improve resilience and performance, and adjusts as conditions change.
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How Torq’s AI SOC Platform delivers automation at scale for SecOps

Torq Socrates is the core orchestrator of the Torq AI SOC Platform and coordinates specialized AI agents to autonomously run security operations at scale via a natural language interface that accelerates security operations, decision-making, and execution. 

Agentic Builder will be part of Torq Socrates, which now provides machine speed and precision to SecOps engineers and architects.

“I’ve had a chance to preview Agentic Builder and it’s clear this will fundamentally change how SecOps works for the better,” said Valvoline CISO Corey Kaemming. 

“Agentic Builder feels less like configuring an application and more like collaborating with an intelligent counterpart that understands SecOps objectives, architects the best approach, and delivers a ready-to-run agent without manual rework and hassle. Instead of dedicating staff to stitching together integrations and debugging logic, Agentic Builder will enable organizations to redirect that expertise toward risk strategy and resilience. This is the kind of breakthrough that resets expectations for what a modern cyber defense program can achieve.”

Last summer, Torq announced a new alliance program with Google, Wiz, Zscaler, and others to drive agentic AI innovation. Read more about this program and how it builds on an autonomous SecOps platform.

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Jordan Smith

Jordan Smith is a news writer who has seven years of experience as a journalist, copywriter, podcaster, and copyeditor. He has worked with both written and audio media formats, contributing to IT publications such as MeriTalk, HCLTech, and Channel Insider, and participating in podcasts and panel moderation for IT events.

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