A2A

A2A (Application-to-Application) refers to direct integration and communication protocols between software systems without human intervention, commonly used in enterprise workflows to automate data exchange and process handoffs. In AI governance contexts, A2A integrations present compliance challenges around data lineage, audit trails, and consent management, since automated system interactions can obscure the flow of personal or sensitive information. Enterprises must establish governance frameworks to monitor A2A connections for regulatory adherence, particularly when AI systems feed data to downstream applications that may process personal information or make consequential decisions.

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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