Tag: Agentic AI

A hands-on EC2-to-GitHub walkthrough shows what AgentCore Identity actually requires when the agent runs outside AgentCore Runtime.
Personal AI agents like Meta Muse will be coming to work with employees. Aembit enforces how they access enterprise systems.
Personal agents are about to test whether enterprises know who, or what, is using their credentials.
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.
Centralized authorization eliminates repeated user consent, but autonomous agents still need runtime policy, short-lived credentials, and audit.
The latest rankings show which risks become more pressing when a model can do more than generate an answer.
Already run CrowdStrike AIDR? See how it builds on Aembit’s identity control plane for AI agents. Read the full breakdown.