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

Category: Product Updates

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.
AI agents are accessing sensitive systems with little oversight. Aembit’s new IAM for Agentic AI gives security teams policy-based control, secretless access, and full auditability—built for the speed and scale of AI.
Aembit’s AWS Secrets Manager integration makes it easier to protect AI and workload access today – and evolve toward short-lived, policy-driven authentication.
Security teams can now correlate workload and agentic AI activity with broader enterprise telemetry, closing gaps before attackers exploit them.
This integration brings workload identity and access data into Splunk, giving security teams clearer visibility, faster response, and stronger zero trust controls.
Say goodbye to long-lived personal access tokens as you replace them with ephemeral, policy-driven credentials and automated service account management.
See how this new Workload IAM capability replaces guesswork with visibility and turns workload mapping into action.
With Aembit, you can secure Microsoft workloads – wherever they run – using short-lived credentials, posture-aware policies, and no-code credential injection.
Securing non-human access should be easier – but federation is fragmented, manual, and brittle. We built a better way to do it across clouds.
The new capability enables granular access without having to manage secrets.