Practical Governance for Enterprise AI
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Microsoft has published the Agentic AI Maturity Model for AI Governance and Security, a technical guidance document that treats AI agents as identity- and permission-bearing actors capable of creating organizational risk through data exposure, inconsistent behavior, and agent sprawl. The guidance prescribes observable, auditable, and controlled agent behavior with defined decision rights, lifecycle oversight, and mandatory cross-functional governance participation from legal and compliance functions. The document is addressed to enterprises globally and provides a staged maturity framework for assessing and advancing agent governance programs.
ServiceNow announced at its Knowledge 2026 conference an expanded AI governance platform designed to manage agent identities, permissions, and connected assets across the enterprise. The platform treats agent authorization as a distinct governance layer rather than an application-level setting. The announcement signals a broader industry shift toward treating non-human AI actors with the same identity and access rigor applied to human users.
