Identity And Permissions

Identity and permissions covers how AI systems, agents, and the people who use them are authenticated, and what each is allowed to access or do. As AI agents increasingly act on behalf of employees, calling APIs, reading files, and making changes in business systems, governance teams need to know which identity an action ran under and whether that access was appropriately scoped. Weak or overly broad permissions can let an AI tool expose sensitive data or take actions no one approved, which makes this a core control area for audit, privilege management, and regulatory accountability.

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Corporate PolicyGlobal2026-10-30

Microsoft's 50 Million Agent Scale Exposes the Vendor Control vs. Enterprise Accountability Gap

Microsoft CEO Satya Nadella disclosed that over 50 million agents are now deployed in Agent 365, a 30% quarter-over-quarter increase, alongside a new governance layer called Perception. Perception enforces identity, permissions, monitoring, and containment outside the AI model itself. A companion mechanism called MXC creates a secure on-device boundary for agents running models from OpenAI, Anthropic, and Meta within Microsoft infrastructure.

Microsoft agentic AI agent governance identity and permissions enterprise AI controls agent containment OpenAI Anthropic