Tag: Workload Identity

Every major AI platform now ships hooks for agent security. Here’s why they’re the wrong layer for access control – and what goes underneath them.
Workloads and AI agents can now get both types of SPIFFE credentials through Aembit, freeing teams from deploying and maintaining SPIRE infrastructure.
Everyone wants a kill switch for AI agents, but what actually stops when someone flips it?
A hands-on EC2-to-GitHub walkthrough shows what AgentCore Identity actually requires when the agent runs outside AgentCore Runtime.
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.
PAM is changing as AI agents, workloads and machine identities take on more privileged access.
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.
Already run CrowdStrike AIDR? See how it builds on Aembit’s identity control plane for AI agents. Read the full breakdown.