Qevlar AI Raises $30M to Scale Autonomous AI SOC

France-based Qevlar AI has closed a $30 million funding round to advance its autonomous AI platform for security operations centres (SOCs). The round was co-led by Partech and Forgepoint Capital International, with participation from EQT Ventures & Growth.

SOC teams face ballooning volumes of alerts, and much analyst time is spent triaging and investigating relatively repetitive signals. Qevlar’s platform aims to cut through that noise by enriching data, correlating signals across systems, identifying alert patterns and automating report generation.

The net effect is to free security analysts for higher-value tasks such as threat hunting, incident response planning and improving organisational security posture. Qevlar says managed security service providers and large enterprises are already using the tech to increase investigation consistency and operational resilience.

Ahmed Achchak, Qevlar AI’s co‑founder and CEO, framed the shift as moving beyond purely reactive metrics — number of alerts handled or mean time to close — toward intelligence that uncovers why incidents happen and prevents recurrence. In his view, the platform not only puts out fires but works to discover what started them.

Early customers report shorter investigation times and the ability to continuously analyse incoming alerts at scale while reviewing incidents more deeply. The new capital will be used to expand the platform’s capabilities beyond automated investigations, pushing toward autonomous workflows that generate actionable insights and recommend corrective actions.

For SOC teams under resource pressure, Qevlar’s approach addresses a familiar pain point: how to handle more alerts without proportionally increasing headcount. The funding round signals investor confidence in AI-driven automation as a pragmatic route to stronger, more resilient security operations.