MIND Targets DLP False Positives With AI Data Classification
Global – October 23, 2026 -- MIND is marketing a cloud-native platform that connects to existing systems in minutes and classifies sensitive data across SaaS applications, on-premise file shares, endpoints and email, with the stated aim of sharply reducing false positive alerts.
MIND says legacy RegEx and tagging leave gaps in data security
The company argues that sensitive data is scattered across four environments: SaaS apps, on-premise file shares, endpoints and email systems. Many data security tools cover only narrow areas, creating silos and gaps where risk can build. Pattern matching, RegEx and user tagging, it says, produce incomplete views and excessive false positives.
MIND also points out that each business holds unique sensitive data beyond common identifiers such as credit card or social security numbers.