Torq secures $140M Series D to scale agentic AI SOC platform

Torq’s raise is a good example of where “agentic AI” is already turning into enterprise spend: security operations. The company isn’t selling a general chatbot; it’s pitching fleets of specialized agents that autonomously triage alerts, investigate incidents and trigger responses across complex SOC environments. That’s a natural early beachhead for agent‑based systems—high‑stakes, high‑volume workflows where latency and fatigue are real problems and where structured tool APIs already exist. The size of the round and the investor mix suggest that VCs see AI‑native security platforms as a distinct category, not just a feature of legacy SIEM/SOAR vendors.([torq.io](https://torq.io/news/torq-seriesd/?utm_source=openai))

For the AGI race, this is part of a broader trend: frontier‑style capabilities are being pulled into narrow, economically critical agent deployments long before we see anything like a general mind. The more that enterprises entrust agents with autonomous action—here, on sensitive security infrastructure—the more pressure there will be to improve robustness, auditability and controllability of those systems. Torq’s positioning around “full operational autonomy” in SOCs hints at where similar patterns might emerge in other domains like finance or industrial control. That doesn’t directly shorten the path to AGI, but it does create powerful commercial incentives to keep pushing agent reasoning, tool use and multi‑agent coordination forward.