Recent Stories

Secrets managers still matter. But AI agents and workloads are changing when stored credentials make sense.
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.
When one identity acts for another, the token model determines what downstream systems can actually see, trust, and audit.
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.
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.
OIDC adds identity to OAuth, giving applications a standard way to verify users, receive claims, and support modern sign-on.
Stateless requests, explicit state, and routing metadata bring familiar distributed-systems patterns to agent infrastructure at scale.

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