With new funding, Qevlar AI plans to further develop its AI-powered security operations platform, expanding automated investigations and analytics to help security teams identify underlying issues and improve security management.
France-based Qevlar AI, which develops AI technology for security operations centres (SOCs), has raised $30 million in funding for the development of its autonomous AI SOC platform. The round was jointly led by Partech and Forgepoint Capital International, with participation from EQT Ventures & Growth.
Security operations centre (SOC) teams are handling increasing volumes of threat alerts, which can create operational challenges. Industry analyses suggest that even a small number of attack scenarios may generate large numbers of alerts, and a significant portion of the threat detection and response process is often spent on triage and investigation. As alert volumes grow, many SOC teams are working to manage these demands with limited resources.
Qevlar AI has developed a platform designed to automate the investigation process. The system performs tasks such as data enrichment, identifying alert patterns, and generating reports, allowing security analysts to focus more on strategic activities, including threat hunting, incident response planning, and improving overall security posture.
The platform uses AI to enrich, correlate, and investigate security signals, helping security teams analyse alerts across multiple systems. According to Qevlar, the technology is used by managed security service providers and large enterprises to identify potential threats, improve investigation consistency, and strengthen operational resilience.
Ahmed Achchak, co-founder and CEO of Qevlar AI, said that many security operations centres currently measure success based on the number of alerts handled and how quickly they are resolved. He noted that this reactive approach provides limited insight into an organisation’s overall security posture and that identifying patterns and trends requires a different approach.
We’re moving from autonomous alert investigations to an intelligent AI SOC platform that uncovers insights that transform how teams not only deal with alerts, but stop them from recurring. We’re putting out the fire and finding out what started it to make sure it doesn’t happen again,
Achchak added.
According to the company, organisations using the platform have reported reduced investigation times, continuous automated analysis of alerts, and the ability to review alerts in greater depth while managing increasing alert volumes.
The new funding will support further development of the Qevlar platform as it expands beyond alert investigation. The company aims to enable security teams to rely on its autonomous AI system to conduct investigations and generate insights into underlying security issues and helping teams identify root causes, take corrective action, and strengthen overall security posture.