Tag: AI Agents

A hands-on EC2-to-GitHub walkthrough shows what AgentCore Identity actually requires when the agent runs outside AgentCore Runtime.
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.
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.
When one identity acts for another, the token model determines what downstream systems can actually see, trust, and audit.
Stateless requests, explicit state, and routing metadata bring familiar distributed-systems patterns to agent infrastructure at scale.
Breaches involve non-human identity credentials more than ever, and that trend should continue. Here is a catalog of those incidents, with advice for mitigating the risk.