Case Study: U.NEAT achieves faster alert response and reduced analyst workload with Qevlar AI

How U.NEAT Scaled Managed Security Operations Without Compromising on Speed or Quality

U.NEAT, a Managed Security Service Provider (MSSP) trusted by Europe's largest companies, faced the challenge of scaling its security operations after a 300% growth in its customer base. Their traditional, manual methods for investigating alerts were too slow and time-consuming, creating a strain on analysts and risking a decline in their high-quality, personalized service. To maintain its standards, U.NEAT sought a solution from Qevlar AI that could autonomously investigate alerts without predefined playbooks.

By implementing Qevlar AI's autonomous investigation platform, U.NEAT significantly enhanced its security operations. The Qevlar AI solution seamlessly integrated with their XDR platform to automatically investigate and enrich alerts, providing analysts with structured reports and risk scores. This resulted in a 27% reduction in average response time to critical alerts and a 20% reduction in time spent on Level 1 investigations, allowing U.NEAT to scale its service quality without expanding its analyst team.

U.NEAT

Mathieu Schiano

SOC Manager