Exaforce Raises $125 Million for Agentic SOC Platform

"Exaforce has developed an agentic SOC platform that supports the full security operations lifecycle through autonomous AI agents called Exabots. These handle detection, triage, investigation, and response for cloud and SaaS environments. The platform ingests and unifies high-volume telemetry into a correlated data view, powering real-time analysis without reliance on traditional SIEM rules or manual query languages."

"The system uses a multi-model AI engine combining data semantics, machine learning, behavioral baselining, and LLMs to enable consistent reasoning over live security context. A real-time knowledge graph connects events, identities, permissions, configurations, and activity at ingest time. This supports fast alert triage with context-rich verdicts, natural language search for investigations, and automated workflows for actions such as user verification or access revocation."

"“We built Exaforce to be the platform defenders actually work in, not just an AI layer on top of existing tools,” said Ankur Singla, CEO of Exaforce. “It starts with a real-time knowledge graph that gives agents complete context from the start, and extends into rich investigation and visualization experiences that put security engineers and AI agents on the same page. This funding lets us deepen that platform and bring it to security teams on a global scale.”"

Exaforce raised $125 million in a Series B round, bringing total funding to $200 million. The investment came from HarbourVest, Peak XV, Mayfield, Khosla Ventures, Seligman Ventures, and AICONIC. Exaforce built an agentic SOC platform that uses autonomous AI agents, called Exabots, to cover the full security operations lifecycle for cloud and SaaS environments. The platform unifies high-volume telemetry into a correlated data view for real-time analysis without traditional SIEM rules or manual query languages. A multi-model AI engine combines data semantics, machine learning, behavioral baselining, and LLMs for consistent reasoning. A real-time knowledge graph links events, identities, permissions, configurations, and activity to enable context-rich alert triage, natural language investigation search, and automated response workflows. The funding will enhance the platform and expand globally, with go-to-market focus on Japan and Europe.

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