Tag: Workload Identity

In MCP, every request comes from a nonhuman identity: an agent, server or tool. These identities don’t act under direct human oversight. They generate requests dynamically, chain operations and carry data across trust boundaries.
Details shared by the attacker suggest the intrusion expanded beyond the initial application through permissions that allowed access to dozens of internal credentials.
Traditional IAM was built for predictable workloads. Learn why AI agents demand a new approach to identity, access control, and credential management.
As agents scale and operate continuously, MCP servers are becoming long-lived access intermediaries, concentrating privilege in ways security teams have already struggled to contain.
Service accounts are indispensable, but their security weaknesses make them the most attractive target in enterprise environments.
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.
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.
Securing MCP servers requires rethinking the entire communication stack, not just adding TLS and calling it done.