IAM

Identity and Access Management (IAM) is a security framework that controls how users authenticate and gain permissions to access AI systems, data, and resources within an organization. Implementing strong IAM practices is critical for AI governance because it ensures only authorized personnel can train, deploy, or modify models while maintaining audit trails of all access. Effective IAM systems reduce risks of unauthorized model manipulation, data breaches, and compliance violations across regulated industries like finance and healthcare.

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ResearchGlobal2026-08-29

NHIMG Guidance Makes Task-Scoped OAuth Tokens a Baseline IAM Control for AI Agents

The Non-Human Identity Management Group (NHIMG) has published practitioner guidance requiring that OAuth tokens in agent-to-agent workflows be bound to the specific task scope and issued with short expiry windows. The guidance addresses a structural IAM gap in multi-agent orchestration, where broad or long-lived credentials can be abused across an entire delegation chain. Compliance teams are expected to treat token scoping, revocation, and traceability as governed controls rather than engineering decisions.

NHIMG OAuth multi-agent IAM non-human identity agentic AI credential management A2A