Qevlar AI raises $30M to move security operations from vigilant firefighting to organization-level security insights

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

The round was co-led by Partec and Forgepoint Capital International, with participation from EQT Ventures. This follows a significant period of growth for the company, where it has acquired a global customer base that includes both large enterprises such as Mercedes-Benz and Sodexo, and leading global managed security service providers (MSSPs) such as Orange Cyberdefense, ECI and Atos, and significantly expanded its geographic footprint.

Move your SOC team from reactive mode to proactive defense mode

SOC teams are overwhelmed by the amount of threat alerts they must manage. 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 phase. Without a corresponding increase in resources, SOC teams face widening capacity gaps.

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