The Torq AI SOC Platform uses artificial intelligence agents to manage security tasks, the company said in a Sunday (Jan. 11) press release.
Torq’s latest funding round brings its total funding to $332 million, lifts its valuation to $1.2 billion, and provides it with support from cybersecurity fund Merlin Ventures, which led the round and can provide access to commercial and public sector markets in the United States, according to the release.
“We have achieved tremendous revenue growth, with Fortune 100 customers adopting our AI agents in their SOCs for everything from investigation to response,” Torq CEO and co-founder Ofer Smadari said in the release. “Our partnership with Merlin Ventures is the definitive signal that Torq is now ready to scale this massive customer success into the high-stakes federal and public sector markets.”
The Torq AI SOC Platform detects and responds to security events at scale, according to the release.
Its key features include AI agents that immediately triage low-fidelity alerts, allowing human analysts to focus on verified, high-impact threats, and a self-service agentic platform that enables customers to build their own agents with minimal effort, the release said.
Merlin Ventures Managing Partner Shay Michel said in the release that Torq is redefining security operations by fusing automation and human judgment in a platform built for asymmetrical threats and real-world scale.
“This is why Merlin is leading the investment,” Michel said. “Our focus now is speed—accelerating go-to-market, expanding across commercial and government markets, and building the next global category leader in AI security operations.”
Torq raised $70 million in Series C funding in September 2024, saying it aimed to expand its AI-first cybersecurity hyperautomation solutions.
PYMNTS reported in July that a new generation of agentic AI-powered cybersecurity tools is emerging and providing threat prevention platforms that don’t wait for alerts but seek out weak points in code, configurations or behavior and take defensive action automatically.
The PYMNTS Intelligence report “COOs Leverage Gen AI to Reduce Data Security Losses” found that 55% of chief operating officers use generative AI to improve data security.