Adnan Masood Urges 3 Policy Rule Types for Generative AI Governance
Updated
Updated · InfoWorld · Aug 31
Adnan Masood Urges 3 Policy Rule Types for Generative AI Governance
1 articles · Updated · InfoWorld · Aug 31
Summary
Masood frames generative AI governance as engineering work: encode policy into build-time and runtime controls so systems stay within policy under change, rather than relying on pilots or manual review.
Three policy rule categories anchor that model—access rules for retrieval and tool calls, content rules for outputs, and action rules for tools—backed by machine-readable policies, versioning and decision records.
CI pipelines should gate every prompt, model-routing, retrieval and policy change with quality, prompt-injection and PII-leakage tests, including thresholds such as quality scores above 0.82 and zero security violations.
Runtime controls then enforce identity context, retrieval filtering, tool mediation and output checks, while each request generates audit evidence covering policy, model, prompt and index versions plus tool calls and sources.
Masood argues a minimum viable setup also needs weekly and monthly review loops, quarterly red-team exercises and rollback or tool-disable runbooks to scale enterprise AI responsibly.