Qevlar AI unveils next‑generation agentic SOC platform
Paris-based Qevlar AI has introduced an agentic AI Security Operations Centre (SOC) platform designed to automate and significantly deepen enterprise security investigations. The startup aims to tackle the growing complexity and volume of cyber threats by embedding autonomous, reasoning-driven AI agents directly into security workflows.
Automating and enriching security investigations
The new platform acts as an intelligent layer on top of existing security stacks, connecting to tools such as SIEM, EDR, and threat intelligence feeds. By leveraging advanced AI algorithms and multi-step reasoning, Qevlar AI automatically triages alerts, correlates events across systems, and produces detailed investigation reports that would typically require hours of manual analyst work.
According to the company, its agentic architecture allows AI-driven workflows to adapt dynamically to each incident, gathering additional context, validating hypotheses, and recommending concrete incident response actions. This approach is intended to reduce alert fatigue, shorten mean time to detect (MTTD) and mean time to respond (MTTR), and free human analysts to focus on the most critical and complex threats.
Addressing the cybersecurity talent and complexity gap
Security teams worldwide are facing a persistent shortage of skilled professionals while contending with rapidly evolving ransomware, phishing, and advanced persistent threats (APTs). Qevlar AI positions its platform as a force multiplier for overstretched SOC teams, offering continuous, 24/7 AI-driven monitoring and investigation without requiring large headcount increases.
Enterprise-ready design and compliance focus
The platform has been built with enterprise-grade governance, auditability, and data privacy controls, allowing security leaders to review every AI-driven decision and maintain compliance with European and international regulations. By keeping security data within controlled environments and providing transparent investigation logs, Qevlar AI aims to make autonomous SOC operations acceptable to highly regulated sectors such as finance, healthcare, and critical infrastructure.
With its agentic SOC offering, Qevlar AI joins a new wave of European cybersecurity innovators seeking to redefine how organizations detect, investigate, and respond to digital threats in an era of escalating cyber risk.