Case Study: Clinc achieves real-time Slack DLP protection with Nightfall

How Nightfall secures Slack communications at Clinc

Clinc, an Ann Arbor–based enterprise AI company (CTO Michael Laurenzano), faced a pressing information security challenge: Slack lacked built-in DLP and Clinc needed a simple, effective way to prevent sensitive data (PII, payment information, etc.) from being shared across channels. After evaluating options, Clinc adopted Nightfall’s DLP platform for Slack because other apps were too complex or under-featured for their enterprise InfoSec requirements.

Nightfall was implemented in seconds and now continuously discovers, classifies, and protects every Slack message and file in real time using machine learning. Nightfall’s bot automatically scans for over 25 detectors (supporting PCI, GDPR, HIPAA compliance), enables automated enforcement workflows to reduce investigation time, and provided hands-on configuration support. As a result, Clinc gained a 24/7, enterprise-grade DLP capability that simplified policy management and gave the team confidence that their Slack communications are consistently protected by Nightfall.

Clinc

Michael Laurenzano

Chief Technology Officer