Tag: Workload Identity

Explore how the specifications impact secrets management and workload identity and access management practices across distributed environments.
As apps and service accounts proliferate, robust management is key to maintaining automated, scalable, and resilient IT environments.
AI agents need identity controls, scoped access, and runtime enforcement before they are trusted with production systems.
A new protocol proposes a clearer way to connect agent identity, delegated authority and human approval for sensitive actions.
Aembit’s new Credential Provider automates Claude API Workload Identity Federation, retiring static keys for short-lived tokens.
An exercise ended with frontier models inside a platform’s production systems, exposing a hard truth about what agents can do with credentials that systems trust.
Compare 10 identity security vendors for AI agents, including where each fits and what buyers should examine before choosing.
AI agents are workloads, but traditional workload identity alone can miss the user, task, and runtime context needed to govern dynamic agent access.
As AI agents begin calling tools and APIs, OAuth moves from background plumbing to a core access-control question.
AI agents need more than working credentials. They need verifiable identity, task-scoped access, and clear attribution.