Meet Aembit IAM for Agentic AI. See what’s possible →

Tag: Workload Identity

Traditional security models fail to detect compromised service accounts and non-deterministic AI agents, requiring a shift to layered, identity-aware behavioral monitoring.
A project to improve test visibility meant using Aembit the same way customers do, in a real deployment environment where software runs unattended and requires trusted access to external services.
True zero trust requires verified identity at every request and eliminating static credentials entirely.
This update gives every Jenkins job a real identity and automated short-lived access so teams can retire static secrets without changing how their pipelines run.
The exposure demonstrates how ordinary errors can reveal internal credentials and how stronger limits on scope and lifespan can contain the impact.
The incident demonstrates how autonomous behavior reshapes intrusion patterns when identity is not clearly assigned or enforced.
Securing MCP servers requires rethinking the entire communication stack, not just adding TLS and calling it done.
Instead of just trusting the token’s signature, attestation-based identity adds an extra layer of security.
Aembit’s AWS Secrets Manager integration makes it easier to protect AI and workload access today – and evolve toward short-lived, policy-driven authentication.
IAM migrations stall in hybrid enterprises due to massive on-prem Active Directory (AD) deployments, budget and regional constraints, and a lack of alignment among development, DevOps, and security teams.