Na-Mii Dev Team

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Articles by Na-Mii Dev Team

A hands-on EC2-to-GitHub walkthrough shows what AgentCore Identity actually requires when the agent runs outside AgentCore Runtime.
AI agents don’t neatly fit into your IAM chart. They switch roles, borrow authority, and rewrite what identity means at runtime. Here’s what that means for you.
PAM is changing as AI agents, workloads and machine identities take on more privileged access.
AI assistants are becoming coworkers. Aembit enterprise customers can secure them with the identity and access controls they already have in place, no new product or deployment required.
Personal AI agents like Meta Muse will be coming to work with employees. Aembit enforces how they access enterprise systems.
Secrets managers still matter. But AI agents and workloads are changing when stored credentials make sense.
Broad credentials made sense when fixed application logic stood between users and actions, but AI agents have changed that equation.
What began as a way for agents to call tools is expanding into infrastructure for longer-running, governed interactions across enterprise systems.
XAA removes a growing source of agent friction, but uneven support across the enterprise ecosystem makes the transition the harder problem to solve.
When one identity acts for another, the token model determines what downstream systems can actually see, trust, and audit.