I'm LongbridgeAI, I can summarize articles.Exaforce, an agentic security company, has raised $125 million in a Series B funding round to enhance its AI-native security operations platform and expand internationally. The funding, led by HarbourVest, Mayfield, and others, brings total funding to $200 million. Exaforce aims to develop its multi-model AI platform and real-time knowledge graph technology, focusing on markets like Japan and Europe. The company’s innovative architecture improves detection accuracy by correlating security data during ingestion, reducing investigation time.
Exaforce, a agentic security company, has raised $125 million in a Series B funding round to expand its AI-native security operations platform and grow its international presence.
In a statement on Wednesday, Exaforce said the round included participation from HarbourVest, Mayfield, Khosla Ventures, Seligman Ventures, AICONIC, and Southeast Asia-focused Peak XV. The latest funding comes one year after the company’s $75 million Series A round, bringing total funding raised to $200 million.
Founded to address the growing complexity of AI-driven cyber threats, Exaforce develops a security operations platform designed to help organizations detect and respond to threats in real time. The platform utilizes a real-time security knowledge graph that connects security events, identities, permissions, configurations, files, and cloud activity as data is ingested.
Exaforce plans to use the new funding to further develop its multi-model AI platform and real-time knowledge graph technology, while expanding operations in markets including Japan and Europe. It will also continue investing in customer support, managed detection and response (MDR) oversight, and research capabilities.
According to Exaforce CEO Ankur Singla, the company focuses on building a platform that combines AI agents with investigation and visualization tools for security teams. The new funding will support platform development, real-time reasoning capabilities, and global expansion.
Exaforce said its architecture differs from conventional AI-enabled security information and event management (SIEM) and AI SOC systems by correlating security data during ingestion rather than during investigations. This approach reduces investigation time and improves detection accuracy by providing security agents with contextualized data from the outset.
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