Paris-Based Qevlar AI Raises €25.8M To Automate SOC Investigations

The funding round was co-led by Partech and Forgepoint Capital International, with participation from EQT Ventures & Growth. The capital will be used to transform alert investigations into actionable security insights, helping SOC teams improve their overall security posture.

This follows an earlier round in April last year, when Qevlar AI secured €9.1 million, led by EQT Ventures and Forgepoint Capital International, bringing total investor commitments prior to this round to €12.8 million.

Founded in 2023 by AI engineers Ahmed Achchak and Hamza Sayah, Qevlar AI provides an agentic AI Security Operations Centre (SOC) platform that transforms routine investigations into actionable security intelligence.

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According to Qevlar AI, SOC teams are overwhelmed by the sheer volume of threat alerts. Forrester research shows that just three attack scenarios can trigger thousands of alerts while Gartner estimates that 70% of detection and response time is spent on triage and investigation. Without additional resources SOC teams face a widening capacity gap.

Qevlar AI’s platform automates investigations by performing tasks such as data enrichment alert pattern identification and reporting freeing analysts to focus on strategic activities like threat hunting incident response planning and strengthening security posture.

The company plans to use the latest €25.8 million funding to extend its platform capabilities beyond alert investigations, enabling autonomous AI to derive insights, identify root causes, and reduce alert volumes over time.

The funding comes after a period of significant growth, with Qevlar AI expanding its global customer base to include large enterprises such as Mercedes-Benz and Sodexo, as well as MSSPs like Orange Cyberdefense, ECI, and Atos, while also broadening its geographical presence.

Ahmed Achchak, Qevlar AI co-founder and CEO, 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.”