Torq has closed a $140 million Series D at a $1.2 billion valuation. The valuation isn’t about momentum optics but reflects how quickly agent-based security operations are moving from experimentation to dependence. SOC teams are no longer testing AI on the margins. They are handing real operational responsibility to it, at scale, and expecting it to hold up under pressure.What’s driving that shift is usage, not positioning. Torq’s AI agents are embedded directly into investigation, triage, and response workflows, taking on the volume-heavy work that slows teams down and burns analysts out. This isn’t AI layered on top of existing tools. It’s a different operating model where automation is trusted to act, not just suggest.The round also accelerates Torq’s move into the U.S. federal market through its partnership with Merlin Ventures. Federal environments tend to reward platforms that have already proven themselves in complex enterprise settings. That expansion signals confidence that autonomous security operations can meet the bar for compliance-heavy, high-stakes use cases.The funding round fits a broader pattern. The SOC is being rebuilt around agentic systems that absorb noise, execute consistently, and let humans focus on decisions that actually require judgment. Capital is following platforms that change how security work is done, not those that add another layer of tooling to manage. Torq’s raise is one more indicator that this shift is already underway.
Channel investors, SOC, AI/ML
Torq’s Closes $140 million Series D

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