Exaforce, a San Francisco startup aiming to reshape security operations centers (SOCs) with an agentic AI platform, has banked a hefty $75 million Series A funding round led by Khosla Ventures and Mayfield.
The company said investors Thomvest and Touring Capital also took equity positions and joined the bet that new categories of cybersecurity tools are needed to modernise incident response operations.
The company’s flagship offering is pitching the use of AI agents dubbed “Exabots” designed to cut down manual SOC tasks by a factor of ten. Exaforce said its product blends large language models with semantic, statistical, and behavioral models to sift through vast amounts of logs, cloud telemetry, and threat data.
The idea is to use the AI to deliver enhanced accuracy and repeatability in threat detection and response.
Founded by executives with stints at Google, F5, and Palo Alto Networks, Exaforce is positioning itself as a well-financed company tackling the overwhelming volume of alerts and the shortage of skilled security professionals.
The new technology promises to streamline investigations and free SOC teams to focus on proactive threat hunting rather than routine log stitching and ticket management.
“Enterprises are asking for a SOC solution that is better at delivering effective and consistent response to threats, faster at detecting and investigating issues, and cheaper to scale defenses on demand without scaling people,” the company said in a statement announcing the new funding.
“The right AI solution for the SOC must analyze enormous volumes of logs, cloud telemetry, and threat data to make rapid, high-stakes decisions. Agentic solutions that rely solely on large language models (LLMs) can only review a fraction of that data at once, resulting in incomplete problem analysis and reasoning that is unreliable and hallucination-prone,” Exaforce argued.
The company said it overcomes this technical barrier with a multi-model (aka layered) AI engine that is purpose-built for security and operations.
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