Aembit

Deploy Aembit as the central identity broker for the organization's AI agents.

Configure conditional access policies specifically mapping AI identities to allowed enterprise resources.

Agent initiates a task requiring sensitive data access.

Aembit verifies context, issues a short-lived token, logs the event, and securely revokes access post-task.

Connect the MCP server to the Aembit MCP Gateway.

Define policy rules stipulating which applications or AI models may query the server.

Intercept incoming data requests via the Aembit Gateway.

Enforce access decisions dynamically based on workload identity and current security posture.

Integrate the CI/CD pipeline environment with Aembit.

Remove hardcoded bootstrap secrets and static keys from the codebase and pipeline variables.

When a build/deployment executes, the runner requests temporary access via Aembit.

Aembit issues a scoped, short-lived token just for the duration of the deployment step.

Audit existing static credentials currently stored in legacy vaults.

Deploy Aembit to broker identity across AWS, Azure, and GCP without storing any new certs or secrets.

Implement policy-based access rules to govern inter-service communication.

Decommission legacy secrets and rely entirely on temporary, identity-driven access verification.

MSP configures an autonomous IT resolution agent using Aembit for its identity back-end.

Agent connects to the client's enterprise environment to resolve a ticket.

Aembit validates the agent's identity and issues limited access rights strictly for the required target systems.

Aembit logs all access events and behaviors centrally for both the MSP and the client's security audits.