Tag: Agentic AI

AI agents need identity controls, scoped access, and runtime enforcement before they are trusted with production systems.
A new protocol proposes a clearer way to connect agent identity, delegated authority and human approval for sensitive actions. AAuth is an authentication and authorization protocol for AI agents inspired by OAuth and OIDC. It authenticates and authorizes agents without the need for a human; it lets agents act on behalf of humans with a separate set of credentials (delegation), and optionally supports human approval before granting access (human in the loop).
An exercise ended with frontier models inside a platform’s production systems, exposing a hard truth about what agents can do with credentials that systems trust.
As AI agents begin calling tools and APIs, OAuth moves from background plumbing to a core access-control question.
AI agents need more than working credentials. They need verifiable identity, task-scoped access, and clear attribution.
Visibility tells you what your agents are doing. Enforcement determines what they’re allowed to do. Here’s what the Aembit team saw at Identiverse that confirmed the gap.
Aembit now supports Microsoft Copilot Studio, giving security teams secure agent authentication to enterprise resources, least-privilege access at runtime, and a complete audit trail of every access event.
As AI moves from chat windows to enterprise systems, data leakage becomes an identity and access problem.
A working prototype can mask the harder problem: keeping every workload, agent, credential, policy, and audit trail consistent across production environments.
Whether you want simple fire-and-forget alerts or full two-way control, here’s how to securely wire your AI agent into Slack