AI Security Maturity: CISO Research Reveals Gaps

Only 20% of organizations are estimated to have the data security maturity needed for safe artificial intelligence adoption. This finding comes from new CISO research by MIND. Agentic AI is now moving data across enterprise environments at machine speed. This makes the traditional separation between data-at-rest and data-in-motion security a real problem. Here's the thing: Data loss prevention, security posture management, and AI security must now come together. Landen Brown, field CTO at MIND, explains that the modern data estate no longer keeps data in separate areas. Instead, it flows continuously across various platforms and systems. This makes fragmented security tools unworkable. The bottom line is that organizations need a single solution. It must discover, classify, detect, remediate, and prevent, all within one platform. This matters because a unified approach is essential for protecting data in the age of AI.