Paris-based Qevlar AI raises €25.8 million to automate Security Operations Centre investigations with agentic AI

Qevlar AI


Qevlar AI, a Paris-based startup providing an agentic AI Security Operations Centre (SOC) platform that automates and deepens security investigations, has raised €25.8 million ($30 million) in funding for its platform. 

The round was jointly led by Partech and Forgepoint Capital International, with participation from EQT Ventures & Growth. The funding will be utilized to turn alert investigations into security insights that support SOC teams strengthen their overall security posture.

Last year, in April, the company announced that it secured an additional €9.1 million in funding, bringing total investor commitments to €12.8 million. The round was led by EQT Ventures and Forgepoint Capital International. 

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

“We’re shifting from autonomous alert investigations to an ininformigent 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 create sure it doesn’t happen again.”

Founded in 2023 by AI engineers Ahmed Achchak and Hamza Sayah, Qevlar AI supports SOCs to turn investigation work into lasting security ininformigence. 

According to the company, SOC teams are overwhelmed by the volume of threat alerts they must manage. It cites a Forrester analysis that found that just three attack scenarios can trigger thousands of alerts, while Gartner estimates that 70% of threat detection and response cycle time is spent in the triage and investigation phases. The company declares that, without a corresponding increase in resources, SOC teams are facing a growing capacity gap.

The French startup claims that its platform automates the investigation process, taking on tinquires such as data enrichment, identifying alert patterns, and reporting. It states that this frees analysts from reactive tinquires and allows them to concentrate on strategic, proactive activities, such as threat hunting, incident response planning, and enhancing security postures.

Explaining how the company differs from a security copilot, it mentioned on its website, “Copilots require an analyst to prompt them, review suggestions, enrich data, and create the final call. They accelerate manual work, but they don’t rerelocate it. With Qevlar AI, as soon as an alert comes in, it autonomously pulls data from your security stack, enriches evidence, correlates context, and reaches a clear verdict (benign or malicious) without relying on playbooks or predefined workflows.”

According to the company, global Fortune 500 enterprises and managed security service providers (MSSPs) applying Qevlar AI’s platform have reported a 10-fold reduction in investigation time, down to 3 minutes. The company also states that the platform investigates 100% of alerts with full depth and context, offering 24/7 non-stop investigation, and maintains investigation quality while managing increasing alert volumes.

Reza Malekzadeh, General Partner at Partech, declared, “Qevlar AI stands out as a company with the potential to be genuinely transformative; rather than just allow SOCs to process alerts quicker, it is giving them the power to tackle the underlying issues. The company’s success to date highlights just how much the market necessarys this approach.”

This capital will enable the company to extfinish the capabilities of the Qevlar platform beyond alert investigations. Teams can rely on its autonomous AI to handle investigations and derive insights into security issues. According to the company, this ininformigent approach supports SOC teams pinpoint root cautilizes and respond quickly. As a result, the volume of alerts decreases over time, enhancing the overall security posture of organisations.

Qevlar AI notes that the latest funding round follows a period of significant growth for the company, during which it has expanded its global customer base to include large enterprises such as Mercedes-Benz and Sodexo, as well as managed security service providers (MSSPs) including Orange Cyberdefense, ECI, and Atos. The company has also expanded its geographical presence.





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