Aembit IAM for Agentic AI

Agentic AI introduces a new access problem: autonomous agents and MCP servers can reach sensitive data, applications, and infrastructure, often without the identity, authorization, and audit controls enterprises expect from traditional IAM.

This data sheet explains how Aembit provides an independent identity control plane for AI agents and other non-human identities, allowing teams to manage access without relying on long-lived secrets.

Learn how Aembit helps enterprises verify agent identity, enforce runtime access policies, issue short-lived credentials, and maintain a clear record of agent activity across modern and existing infrastructure.

Explore the platform’s approach to agentic AI security, including its:

Secretless Agent Access: Discover how Aembit replaces stored secrets with just-in-time credentials based on cryptographically verifiable machine identity.

Runtime Policy Enforcement: Explore how access decisions can account for agent identity, delegated human authority, posture, permitted behavior, location, time, and other conditions.

Enterprise-Grade Auditability: Understand how Aembit creates centralized logs that show which agent accessed which resource, under what policy, and with what credential.