Qevlar AI

Enterprise security teams face a daily paradox: their monitoring systems generate tens of thousands of alerts, but the vast majority are false positives or low-priority events. Investigating each one manually is impossible; ignoring them is dangerous. The result is a chronic backlog of unhandled alerts, exhausted analysts, and — in the worst case — real incidents that slip by unnoticed in the background noise. Qevlar AI, a Paris-based startup specializing in artificial intelligence for enterprise security, has built an autonomous copilot for Security Operations Centers designed to absorb exactly this workload. The platform ingests alerts from existing systems, classifies them, launches automated investigations on relevant signals, gathers evidence from multiple sources, and produces structured reports that allow human analysts to make decisions in minutes rather than hours. The architecture relies on specialized AI agents operating in parallel, each responsible for a specific phase of the investigation: event correlation, log querying, searching for indicators of compromise, and severity assessment. This allows Qevlar to scale investigative capacity without increasing headcount — directly addressing one of the structural problems in modern cybersecurity: the chronic shortage of qualified analysts in the labor market. The business model is B2B SaaS, with subscriptions priced against the volume of monitored devices or events analyzed per period. Separate plans exist for SMEs and large enterprises, with managed service options for organizations that prefer to fully outsource SOC operations. Recurring subscription revenue is supplemented by consulting fees for implementation and security workflow optimization. The cybersecurity market is in structural expansion, driven by the surge in ransomware attacks, the proliferation of connected devices, and increasingly strict European cyber resilience regulations. In this landscape, Qevlar AI positions itself as an intelligent automation layer that augments existing teams without replacing them — a proposition that more and more CISOs are taking seriously.