Identity And Access Management

Identity and access management (IAM) encompasses the systems and policies that control who can access AI systems, data, and governance tools within an organization. In AI governance, IAM is critical because it ensures only authorized personnel can modify models, access sensitive training data, or make decisions about AI deployment and compliance. Strong IAM practices reduce security risks, support audit trails, and help organizations meet regulatory requirements around data protection and accountability.

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ResearchGlobal2026-08-18

CoSAI Paper Sets Token-Exchange Standard for Agentic Trust Boundaries

The Coalition for Secure AI has published guidance establishing token exchange at every agent trust boundary as a foundational control principle for agentic workflows. The paper addresses credential risk in agent-to-tool and agent-to-agent handoffs, where standing credentials create outsized exposure. It offers compliance teams a concrete authorization model to apply to autonomous AI deployments.

Coalition for Secure AI agentic AI token exchange identity and access management agent authorization trust boundaries credential governance