Torq
AI-native hyperautomation platform positioning itself as an 'agentic SOC,' using a multi-agent system to autonomously execute large volumes of security workflows.
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Torq launched in 2020 as a hyperautomation platform aimed at going beyond traditional SOAR’s static, human-authored playbooks, and has since repositioned around agentic AI with its 2025 ‘HyperSOC 2.0’ release, which introduces a multi-agent system with native Model Context Protocol (MCP) support so autonomous agents can reason across tools and take action rather than simply executing pre-scripted steps.
The company raised a $140 million Series D in January 2026 at a roughly $1.2 billion valuation, and reports serving named enterprise customers including Marriott, PepsiCo, Procter & Gamble, Siemens, Uber, and Virgin Atlantic, with approximately 300% revenue growth reported in 2025 as large enterprises adopted the platform to autonomously manage high volumes of security tasks.
Innovation Matrix Assessment
The shift from hyperautomation platform to a multi-agent 'AI SOC' with native MCP support in HyperSOC 2.0 represents a genuine architectural leap within a single year.
Named large enterprise customers across multiple industries suggest real production deployment handling substantial task volume, though details of workload reduction are vendor-reported.
Unicorn valuation, a $140M Series D, and ~300% reported revenue growth in 2025 are strong momentum signals, notably from a company only founded in 2020.
Reframing SOAR from static playbooks to a multi-agent reasoning system that can autonomously chain actions across tools is a genuine structural departure from legacy automation, not just a faster interface. However, Torq raised a $140M Series D in January 2026 at a $1.2B valuation (per securityweek.com), which is the scale of an established incumbent rather than an emerging category disruptor, so this dimension is scored more conservatively.
Named enterprise customers add credibility, but this research pass found no independent, third-party efficacy benchmark of Torq's autonomous agent outcomes beyond company-reported figures.
Agentic, multi-tool automation is widely seen by the industry as the direction SOC tooling is heading over the next several years, positioning Torq well if execution continues.
Why CISOs Should Care
Autonomous multi-agent execution can absorb the high-volume, repetitive portion of SOC workload at machine speed, freeing scarce human analyst time for genuinely novel or high-severity incidents.
What Makes It Different
Instead of automation limited to pre-written, static playbooks, Torq's multi-agent system is designed to reason about a task and chain tool actions dynamically, closer to an autonomous operator than a scripted workflow engine.
The Matrix Verdict
72/100 — MEANINGFUL INNOVATOR
One of the fastest-moving companies in this category by funding, revenue growth, and named enterprise adoption, with a genuinely different agentic architecture. Strong Meaningful Innovator bordering on Transformational, pending independent efficacy validation as the agentic-SOC category matures.
Editorial Note: Claims vs. Verified Findings
Series D amount, valuation, and named customers are drawn from Torq's own press materials and corroborated trade coverage; the ~300% revenue growth figure is company-reported and not independently audited. No independent third-party benchmark of HyperSOC's autonomous-agent accuracy was found in this research pass.
Sources
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