Qevlar AI, a Paris- and New York-based innovator in autonomous AI for security operations centers, announced a $30 million funding round on March 10, 2026. This investment builds directly on the company’s previous $14.89 million raised across earlier rounds, providing critical resources to expand its groundbreaking AI SOC platform. The funding enables Qevlar to shift security teams from exhausting manual alert triage—often taking 40-50 minutes per case—to generating deep, organization-level security intelligence that identifies and mitigates root causes of threats.

The platform’s core strength lies in its ability to conduct complete Tier-2 and Tier-3 investigations in under three minutes with 99.8% classification accuracy, surpassing human performance benchmarks. SOCs achieve 10x faster resolution times, 100% alert coverage enriched with full context from SIEM, EDR, and CTI sources, and 24/7 autonomous operation even as threat volumes surge. This frees analysts to focus on proactive strategies rather than firefighting, reclaiming capacity equivalent to multiple full-time team members per SOC.

Founding Vision and Rapid Growth

Qevlar was co-founded in 2022 by CEO Ahmed Achchak and CTO Hamza Sayah, both AI engineers who emerged from Meta’s incubation program and Microsoft’s startup accelerator. Recognizing the crippling alert fatigue in SOCs where analysts miss sophisticated attacks amid noise, they built a hybrid AI system that correlates signals across tools without hallucinations or inconsistencies. Today, with 51-200 employees—quadrupled in the past year—Qevlar serves Fortune Global 500 enterprises and leading MSSPs including Orange Cyberdefense, MediaMarkt, Atos, Sodexo, GlobalConnect, Nomios, Almond, Stoik, ECI, and Performanta across Europe, the US, and beyond.

The company’s deployments have delivered measurable outcomes: 30% faster responses to critical alerts, 50% overall analyst time savings, and scalable handling of millions of daily signals for MSSPs. Incubated by Meta and accelerated by Microsoft, Qevlar has demonstrated production-grade reliability, positioning it as a trusted partner in high-stakes environments requiring auditability and compliance.

Investment Details and Investor Confidence

This $30 million round follows a $14 million financing in April 2025 led by EQT Ventures, with participation from Forgepoint Capital International and operators from Datadog, DeepMind, and Dataiku. Forgepoint, which led an extension last year and holds a board seat, returned with conviction, with Board member Damien Henault stating: “It makes perfect sense… as it evolves from rapid alert investigations to a complete end-to-end next-generation AI SOC insights platform.” EQT Ventures also rejoined, praising the platform’s validated efficiency gains without compromising reliability.

Total funding now stands at $44.89 million, with proceeds earmarked for R&D in advanced autonomous workflows, knowledge graph enhancements, and deeper integrations with enterprise security stacks. The investment underscores strong continuity from backers who have witnessed Qevlar’s progression from seed-stage innovation to enterprise-scale impact.

Technical Architecture and Key Differentiators

At its heart, Qevlar employs a hybrid architecture embedding large language models within graph-based orchestrators, ensuring repeatable, hallucination-free investigation paths for every alert. Autonomous agents dynamically enrich signals, perform cross-tool correlations, and generate comprehensive reports covering malware, privilege escalations, SQL injections, and more—all in seconds rather than hours. Unlike playbook-dependent or LLM-only solutions prone to errors, Qevlar adapts fluidly without custom scripting or vendor lock-in, delivering consistent depth analysis at enterprise volumes.

This design excels in real-world scenarios: sub-three-minute full investigations at 99.8% accuracy, enabling SOCs to evolve from reactive triage factories to proactive threat intelligence hubs. MSSPs benefit from seamless scalability, handling massive client portfolios without proportional headcount growth, while enterprises gain traceable, compliant outputs for regulatory audits.

Customer Success and Proven Metrics

Fortune Global 500 adopters report dramatic reductions in mean time to respond (MTTR) and fortified overall defenses through collective insight generation. For instance, MSSPs like Orange Cyberdefense expand service offerings efficiently, processing enterprise-scale workloads with AI managing the bulk of Tier-1 through Tier-3 tasks. Production deployments validate the platform’s claims, with 100% alert coverage providing layered context that uncovers persistent attack campaigns and vulnerabilities missed in manual reviews.

The ROI manifests in reclaimed SOC bandwidth—equivalent to several analysts per team—redirecting human expertise toward high-value activities like threat hunting and policy refinement. Events like the RSA Conference have showcased these transformations, highlighting Qevlar’s edge in reducing burnout while enhancing detection of sophisticated threats.

Competitive Landscape and Market Tailwinds

Qevlar competes in the AI SecOps space against Recorded Future (threat intelligence), Anomali (detection), Skybox (vulnerability management), Flashpoint (dark web monitoring), and ReversingLabs (malware analysis), but stands apart with end-to-end autonomous investigation rather than siloed enrichment. Its hallucination-free reliability and graph-orchestrated precision make it ideal for mission-critical SOCs, where consistency trumps speed alone. Surging cyber threats, global analyst shortages, and the maturation of ethical AI amplify demand for solutions like Qevlar’s that augment rather than replace human teams.

Leadership Perspectives

CEO Ahmed Achchak emphasized: “Security teams drown in alerts while real threats slip through. Our autonomous agents conduct complete investigations in just seconds, with greater consistency than humans, allowing SOCs to shift from reactive alert factories to proactive threat hunters.” Forgepoint’s Damien Henault added: “Qevlar is extending all the way from Level 1 investigation to Level 2 enhanced detection and Level 3 remediation insights.” These views capture the platform’s role in redefining cybersecurity resilience through transparent, scalable AI.

Conclusion

Qevlar AI’s $30 million funding round solidifies its leadership in autonomous SecOps, equipping enterprises and MSSPs with a proven platform that delivers unmatched speed, accuracy, and strategic intelligence. By bridging the gap from alert overload to organization-wide threat mastery, Qevlar not only alleviates SOC pressures but also sets a new standard for efficient, resilient security operations in an era of escalating risks—poised for global dominance with backing from top-tier investors and real-world validation.​