Securing sensitive data at the speed of AI

AI adoption has outpaced the security controls that try to contain it. 90% of organizations run enterprise GenAI at scale while 65% of CISOs lack confidence in their AI data security controls. The gap between adoption speed and security maturity is where sensitive data gets exposed.

AI-driven risk moves across the entire enterprise at machine speed. GenAI tools, co-pilots and autonomous agents don't wait for policy to catch up, and neither does the data flowing through them. The dominant exposure today isn't covert exfiltration. It's employees sharing confidential data to get work done faster, through interfaces that weren't built for enterprise data governance.

Legacy DLP wasn't designed to keep pace. Static policies and post-event alerts can't intercept sensitive data moving at AI speed.

Data trust changes that. What allows AI to scale safely are dynamic controls that enforce policy at the moment data is used, in real time, before harm follows.

See for yourself how MIND can help you secure data at the speed of AI.