A global manufacturing company ran a busy SOC on Microsoft Sentinel, but the team was drowning in false positives while ingestion costs kept climbing. Seculyze was deployed on top of their existing Sentinel to tune detections and auto-close the noise.
Within weeks, 71% of false positives were auto-closed, Sentinel cost dropped by 24%, and MITRE ATT&CK coverage improved by more than 65%. The SOC team could finally focus on the alerts that mattered.
How intelligent tuning did the heavy lifting
At the core of the deployment was Seculyze’s intelligent tuning. Instead of analysts triaging every alert by hand, the machine-learning models scored each one against dynamic baselines for the environment – user behaviour, IP blocks and device activity – and indicated that up to 94% of incoming alerts were noise. The clear-cut cases were auto-closed automatically, so the team never saw them. The remaining flagged alerts were surfaced for a closer look, where an analyst could confirm the verdict and close them with a single click – keeping a human in control without the manual grind.