AI governance gaps slow deployment despite rising investments

Enterprise AI adoption is accelerating, but gaps in model governance threaten progress and create security risks. Organizations must balance rapid innovation with oversight as regulations intensify and AI systems grow complex.

This report surveys 300+ AI practitioners, highlighting promising developments and governance weaknesses. Key findings include:

· Security risks in open-source components affect 40% of organizations despite validation processes
· 30% lack formal drift monitoring, with gaps in documentation
· Toolchain fragmentation hinders governance; only 25% have unified AI environments

Read the report for strategies to strengthen AI governance while sustaining innovation.