Case Study: Unit21 achieves secure AI data protection with Nightfall

A Nightfall Case Study

Preview of the Unit21 Case Study

Unit21 blocks shadow AI data exposure in less than 24 hours with Nightfall

Unit21, a provider of risk and compliance platforms for the financial industry, faced a critical security blind spot as employees began using unauthorized AI tools, leading to the exposure of sensitive customer financial data. Their legacy security tools could not monitor data flows to AI applications, creating a major compliance risk. They turned to Nightfall's AI-native data loss prevention (DLP) solution for help.

Nightfall provided real-time protection by scanning for sensitive data across SaaS and AI applications, blocking risky actions, and redirecting users to approved tools. The solution achieved a less than 5% false positive rate and automatically remediated 67% of issues. This enabled Unit21 to securely embrace AI innovation, eliminate data exposure risks, and achieve compliance-ready operations without dedicating significant resources to manage the platform.


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