Case Study: UiPath achieves 86% fewer false positives with Dropzone AI

UiPath cuts false positives 86% with Dropzone AI

UiPath, a globally distributed security organization operating on an agentic platform, sought to optimize its highly automated SOC. Their challenge was managing high alert volumes from complex cloud environments without sacrificing investigative rigor, ensuring low-priority alerts did not consume analyst time needed for higher-value work. They partnered with vendor Dropzone AI to implement its AI SOC analyst service as a frontline reasoning layer for their security pipeline.

Dropzone AI was deployed to autonomously investigate and triage alerts using UiPath's existing security tools. The solution created a closed-loop system where Dropzone resolved lower-complexity alerts and escalated higher-risk cases with full context. This implementation resulted in an 86% reduction in false positives and saved over 700 analyst hours within six months, allowing UiPath's security team to reallocate their expertise toward advanced investigations and system improvements.

UiPath