Case Study: Deepwatch improves cloud visibility and streamlines security workflows with Nightfall AI

How Deepwatch improves cloud visibility into SaaS apps and Generative AI tools

Deepwatch, a managed security leader with over 400 experts, needed better cloud visibility across SaaS applications and generative AI tools like ChatGPT, while also reducing false positives and improving insider-risk awareness. To address these challenges, Deepwatch turned to Nightfall AI’s cloud DLP and detection platform for broader visibility and faster, more accurate policy enforcement.

With Nightfall AI, Deepwatch plugged into its APIs to monitor sensitive data across cloud apps, fine-tuned detectors to its risk tolerances, and automated Slack-based alerting and remediation. The result was sub-second responses, significantly fewer false positives, stronger protection against insider risk, and much greater confidence that sensitive data in Google Drive, Slack, and other apps would be detected and handled quickly.

Deepwatch

Mason Goshorn

Information Security Engineer