{"id":229590,"date":"2026-01-12T09:46:09","date_gmt":"2026-01-12T09:46:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/229590\/"},"modified":"2026-01-12T09:46:09","modified_gmt":"2026-01-12T09:46:09","slug":"torq-raises-140m-at-1-2b-valuation-to-scale-ai-driven-security-hyperautomation","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/229590\/","title":{"rendered":"Torq raises $140M at $1.2B valuation to scale AI-driven security hyperautomation"},"content":{"rendered":"

Security hyperautomation platform company\u00a0Torq Ltd.<\/a>\u00a0today announced that it has raised $140 million in new funding on a $1.2 billion valuation to accelerate adoption of its artificial intelligence-driven security operations platform and expand go-to-market efforts.<\/p>\n

Founded in 2020, Torq offers a security hyperautomation platform that is built to help security operations teams automate and scale their workflows far beyond traditional tools. The platform connects to existing security systems an organization already uses, including security event management, endpoint detection and response, identity platforms, firewalls and collaboration tools, to let teams build automated processes that span those systems without needing to write code.<\/p>\n

The no-code hyperautomation platform is agentless and takes an integration-first approach that allows organizations to orchestrate actions across their entire security stack in a coordinated way rather than relying on manual, siloed interactions.<\/p>\n

Torq\u2019s hyperautomation blends traditional workflow automation with AI-driven decision-making and reasoning. The idea is that rather than using simple scripted playbooks that run the same steps every time, Torq uses AI and multi-agent systems that can adapt to changing threat contexts, triage alerts, enrich data with context and decide on next actions autonomously.<\/p>\n

The company also offers an agentic AI capability, with AI agents that are said by Torq to act like digital security analysts that work 24\/7 to triage incoming alerts, investigate potential threats and, in many cases, remediate them automatically. The agents collaborate internally, share context and can escalate the most complex or uncertain cases to human analysts and, in doing so, free up human experts to focus on strategic tasks rather than routine, repetitive work.<\/p>\n

\u201cAI agents are driving a change in multiple software industries as we speak,\u201d explains Ofer Smadari, chief executive officer and co-founder of Torq, in a blog post<\/a>. \u201cTorq shows that the application of this technology to security operations can bring tremendous outcomes and this is what we are after: the opportunity of breaking away from \u2018being an important tool for security professionals\u2019 and delivering on our true mission: providing outcomes that revolutionize security operations and make the overall security posture of an organization much stronger than ever before.\u201d<\/p>\n

According to Smadari, the AI agents are also finding a willing audience, with companies including Marriott International Inc., PepsiCo Inc., Procter & Gamble Co., Siemens AG, Uber Technologies Inc. and Virgin Atlantic Airways Ltd. using Torq\u2019s agents to run millions of agentic security actions every single day, handling everything from complex investigations to rapid response.<\/p>\n

The Series D round was led by Merlin Ventures Ltd., with Evolution Equity Partners, Notable Capital LP, Bessemer Venture Partners, Insight Partners, and Greenfield Partners also participating.<\/p>\n

\u201cTorq is redefining security operations,\u201d said Shay Michel, managing partner at Merlin Ventures. \u201cThey\u2019ve fused automation and human judgment into a new AI SOC platform built for asymmetric threats and real-world scale. This is why Merlin is leading the investment.\u201d<\/p>\n

The new funding takes the total raised by Torq to $332 million. The company\u2019s previous rounds include $50 million in December 2021<\/a>, $42 million in January 2024<\/a> and $70 million in September 2024<\/a>.<\/p>\n

Image: Torq<\/p>\n

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