Qevlar AI raises $30M to scale autonomous SOC

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

The funding round 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 global managed security service providers (MSSP) including Orange Cyberdefense, ECI and Atos, and significantly expand its geographical footprint.

SOC teams are facing a crisis of scale. A Forrester analysis found that just three attack scenarios can generate thousands of alerts – and according to Gartner, 70% of the entire threat detection and response cycle is consumed by triage and investigation alone. With headcount failing to keep pace with threat volumes, SOC analysts are caught in an exhausting loop of reactive work, leaving little room for the strategic thinking that actually moves the needle on security.

Qevlar AI’s platform is purpose-built to break that cycle. By automating the investigation process end-to-end – from data enrichment and alert pattern recognition to reporting – it frees analysts from the grind of manual triage and returns their attention to high-value work: threat hunting, incident response planning, and long-term security posture improvement.

The results, already being seen across global Fortune 500 enterprises and leading MSSPs, speak for themselves:

• 10x faster investigations – down to just 3 minutes
• 100% of alerts investigated with full depth and context
• 24/7 continuous coverage with no gaps or fatigue
• Consistent quality regardless of alert volume

But Qevlar’s ambitions extend beyond faster investigations. The company’s latest funding round is fuelling the next phase of the platform: moving from autonomous investigation to autonomous intelligence. Once an investigation is complete, the platform synthesises findings into structured insights about the underlying security issues driving alert volumes in the first place – helping SOC teams identify root causes and act decisively to address them.

The compounding effect is significant. Fewer root problems mean fewer alerts over time, and fewer alerts mean SOC teams can stay ahead of threats rather than perpetually chasing them. It’s a fundamentally different model – one where AI doesn’t just help analysts work faster, but helps organisations become measurably more secure.

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Ahmed Achchak, Co-Founder and CEO, Qevlar AI said: “Today, most SOCs measure success by how many alerts they tackle and how quickly they are resolved. But this is a firefighting approach that tells you nothing about your security posture. The only way to understand that is by being able to identify patterns in the trends, and that requires a completely new 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.”

The round was jointly led by Partech and Forgepoint Capital International, with participation EQT  Ventures.