Qevlar AI, a leader in AI for transforming security operations centers (SOCs), has raised $30 million in funding for its autonomous AI SOC platform. The funding will be used to turn alert investigations into security insights that help SOC teams strengthen their overall security posture.

The round was jointly led by Partech and Forgepoint Capital International, with participation from EQT Ventures. It follows a period of major growth for the company, which has seen it acquire a global base of customers including both large enterprises such as Mercedes-Benz and Sodexo, and leading global managed security service providers (MSSP) including Orange Cyberdefense, ECI and Atos, and significantly expand its geographical footprint.

Moving SOC teams from reactive mode to proactive defense

SOC teams are overwhelmed by the volume of threat alerts they must manage. A Forrester analysis found that just three attack scenarios can trigger thousands of alerts, and Gartner estimates that 70% of threat detection and response cycle time is spent in the triage and investigation phases. Without a corresponding rise in resources, SOC teams are facing a growing capacity gap.

Qevlar AI’s market-leading platform automates the investigation process, taking on tasks such as data enrichment, identifying alert patterns, and reporting. Analysts are therefore free to move away from reactive work and focus on strategic, proactive tasks, such as threat hunting, incident response planning and improving security postures.