Case Study: UserTesting strengthens SaaS, AI, and endpoint data security with Nightfall

A Nightfall Case Study

Preview of the UserTesting Case Study

UserTesting achieves 97% automated remediation with Nightfall

UserTesting, a leading customer insight company, faced significant data security blind spots. Their legacy endpoint DLP solution could not monitor data moving between SaaS applications like Google Workspace or into AI tools, creating invisible risks. Alert fatigue and slow, manual remediation processes further hampered their security operations.

Nightfall implemented its unified DLP platform, providing real-time protection across Google Drive, endpoints, AI tools, Slack, and Gmail. The solution enabled automated, user-driven remediation via Slack and pre-submission scanning for AI prompts. Nightfall delivered dramatic results for UserTesting, including a 97% automated remediation rate, deployment in under 48 hours, and immediate visibility into previously unmonitored data flows across their entire modern stack.


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