Qevlar AI Raises €25.8M Series A to Put Agentic Intelligence at the Heart of Security Operations

Security operations centres are in crisis. Analysts at large enterprises and managed security providers routinely face hundreds of alerts per day, with the majority requiring manual investigation before a verdict can be reached. The result is alert fatigue, missed threats, and an industry-wide skills shortage that shows no sign of easing. Agentic AI — systems capable of autonomous, multi-step reasoning rather than simple pattern matching — is increasingly seen as the structural answer to this problem. Paris-based Qevlar AI has just secured €25.8 million to prove that thesis at scale.

The Series A round, announced on 10 March 2026, was co-led by Partech and Forgepoint Capital International, with continued participation from EQT Ventures & Growth. The raise brings Qevlar AI’s total funding to approximately $44 million (€40.5 million), following a $14 million seed round led by EQT Ventures and Forgepoint Capital closed in 2024. The new capital will be deployed to expand the platform across enterprise and managed security service provider (MSSP) markets globally.

From Alert Fatigue to Autonomous Investigation

Qevlar AI’s platform sits inside the SOC workflow and takes over the investigation phase entirely. When an alert enters the system, the platform autonomously queries the customer’s security stack — pulling telemetry, enriching evidence, correlating context across data sources — and delivers a clear verdict: benign or malicious. Unlike traditional SOAR platforms that rely on predefined playbooks, Qevlar AI reasons dynamically across each alert without human-defined rules.

The practical impact is measurable. Enterprises and MSSPs using the platform report a tenfold reduction in investigation time, bringing average case resolution down to three minutes. Notable clients include Mercedes-Benz and Sodexo, pointing to traction at the upper end of the enterprise market. According to the company, the goal is not merely to accelerate alert triage, but to transform the accumulated intelligence from individual investigations into organisation-level security insights — building a feedback loop that progressively strengthens the customer’s overall security posture.

Investors Backing Europe’s Autonomous Security Leader

The composition of the cap table reflects genuine conviction in the space. Partech, one of Europe’s most active venture firms with a consistent focus on enterprise software and deep tech, takes a lead position alongside Forgepoint Capital International, a specialist cybersecurity fund with a broad portfolio of security infrastructure investments. The continued participation of EQT Ventures & Growth — which backed the seed round — signals confidence in the company’s trajectory since that earlier bet.

Forgepoint Capital International’s deep domain expertise in security is a particularly notable endorsement. The firm has invested across a range of enterprise security platforms covering detection, identity, and operations, and its support of Qevlar AI from seed through Series A suggests conviction that the autonomous SOC model is one of the defining platform opportunities in cybersecurity this decade.

The Founders

Qevlar AI was founded in January 2023 by Ahmed Achchak and Hamza Sayah, both of whom came to cybersecurity via machine learning rather than the traditional security engineering route.

Achchak, who serves as CEO, trained in mathematics and biotechnology at École Centrale Paris before spending three years as a senior machine learning engineer at Natixis, the French investment bank. He subsequently served as CTO of Minautor, a European auto parts reseller, where he led technical infrastructure from scratch and helped grow revenue sixfold. Sayah, the CTO, earned his undergraduate and master’s degrees in mathematics at EPFL in Lausanne, undertook research work at an ETH Zurich spin-off, and was head of research at Ponicode — a software testing startup acquired by CircleCI — before co-founding Qevlar AI.

The pair’s background in applied mathematics and production ML engineering positions them credibly against a class of SOC vendors that have historically been dominated by security veterans without deep AI engineering roots.

Europe’s Cybersecurity Moment

The funding lands at a moment of significant acceleration in European cybersecurity investment. European startups in the sector raised approximately €2.7 billion across 266 deals in 2025, outpacing 2024 levels, with France and Germany emerging as the continent’s leading hubs for AI-native security companies. The EU has committed €145.5 million specifically to strengthen cybersecurity capabilities across small and medium-sized enterprises and public administrations.

The broader market dynamics are equally compelling. The agentic AI in cybersecurity segment is projected to grow at a CAGR of approximately 40% through 2034, as organisations shift from reactive, human-driven investigations to autonomous platforms. A recent study found that the proportion of organisations allocating more than a quarter of their cybersecurity budget to AI solutions is expected to rise from 9% today to 48% within two years — a structural spending shift that creates a substantial commercial tailwind for platforms like Qevlar AI’s.

For a company founded barely two years ago, the combination of marquee enterprise clients, measurable operational improvements, and a well-capitalised investor syndicate positions Qevlar AI as one of the more credible contenders in what is fast becoming one of the most contested sectors in European venture.

At a Glance