Governance By Design: Turning AI Policy Into Executable Controls
InfoWorld, Monday, August 31st, 2026
Encode AI policy as build- and runtime controls in the delivery pipeline instead of running governance as separate compliance.
Adnan Masood makes the case that AI governance only works when it is embedded in engineering systems rather than run as a parallel compliance function.
He defines governance by design as encoding policy into build and runtime controls that enforce access, constrain actions, capture evidence, and measure drift.
The practical program involves threat modeling, standardized reusable governance components, policies expressed as executable code, CI/CD gates, and runtime enforcement.
Placing these alongside existing quality checks and security testing lets organizations operate AI responsibly while still shipping quickly, rather than trading speed for control.