Fleuret AI raises €4M to automate offensive cybersecurity with agentic AI

Paris-based Fleuret AI has secured €4 million in pre-seed funding to build an agentic AI platform for automated penetration testing. The round was led by RAISE Ventures, with participation from unnamed business angels.

The startup positions itself at the intersection of offensive security and generative AI, aiming to reduce the time and expertise required for red-team exercises. Unlike traditional vulnerability scanners, Fleuret’s agents are designed to simulate human-like attack chains, adapting to network defenses in real time. The company claims its approach can cut the duration of a typical penetration test from weeks to hours, though it has not yet released public benchmarks or customer case studies.

Fleuret’s timing aligns with growing pressure on European enterprises to adopt AI-driven security tools. When we covered Holger Mueller’s analysis last month, the analyst warned that Europe’s cautious stance on AI left its firms exposed to more aggressive competitors. The region’s cybersecurity sector has since seen increased activity, including large funding rounds for startups targeting AI-native defenses. Fleuret’s focus on offensive rather than defensive AI sets it apart, but the market for automated red-teaming remains early, with few validated use cases at scale.

The funding round is relatively small compared to others in the sector, suggesting Fleuret is still in the product-development phase. Its success may hinge on whether enterprises are ready to trust AI agents with sensitive security operations, or if they’ll continue to rely on human-led testing for critical infrastructure. RAISE Ventures’ backing signals institutional interest, but the startup’s next milestones—commercial pilots, regulatory approvals, and measurable outcomes—will determine whether it can move beyond early adopters.

Sources: tech.eu