Driven Tech launches ARMOR security operations platform with Torq
Driven Tech launched Driven ARMOR, a cognitive security operations platform powered by Torq and aimed at faster, context-aware cyber response.
Driven Tech, Inc. said on Aug. 3, 2026, that it launched Driven ARMOR, a security operations platform powered by Torq and designed to combine artificial intelligence, automation and human expertise.
The company said the name stands for Autonomous Response Monitoring Orchestration & Remediation. It said the platform is built to help organizations respond to increasingly automated and AI-powered threats, speed investigations, coordinate response actions and keep experienced security professionals involved in critical decisions.
Driven said ARMOR continuously correlates telemetry across identity, endpoint, network, cloud, applications and security platforms to understand attack context before taking action. The company said the platform is vendor-agnostic and integrates with tools from Cisco, Palo Alto Networks, Microsoft, CrowdStrike, Splunk, SentinelOne, Rubrik and Google/Wiz, among others.
Driven said ARMOR is a key component of its Pervasive Security platform and part of its effort to address threats that are becoming more adaptive and more automated.
“Torq believes the future of security operations is agentic, not just automated,” Marco Garcia, chief customer officer at Torq, said in the release. He described ARMOR as “fast, contextual, and human-guided where it matters most.”
Vinu Thomas, president and COO of Driven Tech, said the future of security operations “must be cognitive” and said ARMOR combines agentic AI, hyper automation and Driven’s Forward Delivery Security Engineers to help organizations prepare for AI-driven threats.
Driven said the launch follows its recent selection to participate in Anthropic’s Cyber Verification Program. The company said that selection is part of its broader AI-powered cyber defense work.
Driven said readers can learn more at Driven.tech.
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Editorial note: This article was prepared with AI assistance and includes source attribution for reader review.
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