Tag: AI Workloads

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.
A down-to-earth primer to help engineers make sense of agentic AI architecture and where things stand today.
As AI moves from chat windows to enterprise systems, data leakage becomes an identity and access problem.
Eliminating static API keys is real progress – but securing one credential surface is not the same as governing workload access at scale.