Tag: AI Workloads

How to give autonomous agents useful access while preserving identity, accountability, and control.
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.
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.
Secrets managers still matter. But AI agents and workloads are changing when stored credentials make sense.
An employee, a scheduled agent, and a company-wide assistant may knock on the same MCP server door. They should not get in with the same badge.
AI agents are changing how identity and access work but most teams are unprepared.
Aembit’s new Credential Provider automates Claude API Workload Identity Federation, retiring static keys for short-lived tokens.
AI agents are workloads, but traditional workload identity alone can miss the user, task, and runtime context needed to govern dynamic agent access.