Why AI Projects Are Stalling on Governance, Not Models
Techstrong.ai, Monday, August 17th, 2026
AI deployments stall on governance gaps because legacy access controls cannot operate at agent speed.
Enterprises deploying AI agents face governance challenges rather than model performance issues. Legacy access frameworks designed for human users cannot enforce policy at machine speed, creating security risk and deployment delay.
Gartner forecasts that 40% of enterprise apps will feature AI agents by 2026, yet most lack proper access controls. Organizations succeeding move governance from annual audits to runtime enforcement that treats human and machine identities consistently across data platforms.