Case Study: Nomios saves 30 minutes per investigation and frees 60 analysts with Qevlar AI

Nomios frees 60 analysts and cuts investigations to 3 min with Qevlar AI

Nomios, one of Europe's largest and most trusted MSSPs, faced challenges with repetitive manual investigations that consumed up to 30 minutes per alert. They needed to unify their fragmented security tools and enrich escalated cases with full context to enable faster responses and support more customers without breaking SLAs. To address this, they turned to Qevlar AI's autonomous alert investigation.

By implementing Qevlar AI's solution, Nomios automated its L2 investigations, saving an average of 30 minutes per alert and reducing its mean time to investigate to just 3 minutes. The results enabled Nomios to reclaim the time and focus of 60 analysts, freeing them to shift from reactive triage to proactive threat hunting. This allowed the MSSP to support more customers and achieve greater operational scale without adding headcount, all while amplifying the value of their existing EDR tools.

Nomios