Case Study: Snyk automates security workflows and reduces false positives with Nightfall

How Snyk automates their security workflows with 94% true positives

Snyk, a leading developer security platform, sought a data loss prevention (DLP) solution that provided superior visibility and accurate alerts without hindering user productivity. Their previous tools generated numerous false positives, leading to wasted time on triage and a loss of confidence. They needed to find a DLP provider capable of catching data exposures in real-time across their integrated applications like Slack and GitHub.

By implementing Nightfall, Snyk gained high-fidelity visibility and a 94% true positive rate from Nightfall’s AI-powered detection. This high accuracy allowed Snyk to confidently enable Nightfall’s automated remediation features, which auto-redact or delete sensitive data. This resulted in significant time savings on alert triage and fostered a major positive change in user behavior through features like in-the-moment coaching on Slack.

Snyk

Victor Sogaolu

Staff Security Engineer