Aembit published a new primer detailing how LLM, MCP, and agent gateway patterns differ, where they overlap, and where identity and access fit before the gateway enforces the decision.
Published
Signal category
Research & Knowledge
Quote
“Our new primer sorts out how LLM (model), MCP, and agent gateway patterns differ, where they overlap, and where identity and access fit before the gateway enforces the decision.”
— Aembit team
Company
Aembit
The Identity and Access Management Company for Agentic AI
- Industry
- Computer and Network Security
- Location
- Silver Spring, US
- Company size
- 47 employees
Aembit provides identity and access management for AI agents and workloads accessing enterprise services and data. Many organizations still rely on static credentials or shared service accounts to authorize these interactions, leaving secrets widely distributed across infrastructure. Aembit replaces static credentials with identity-based access control. Workloads and agents authenticate using verified identity and runtime context, after which centrally managed policy determines whether access is permitted and issues short-lived credentials for the requested interaction. This removes the need to embed credentials or implement custom authentication logic inside applications and automation pipelines, allowing organizations to deploy AI and automation without expanding credential risk or developer burden. For agent-driven activity, Aembit introduces blended identity and the MCP Identity Gateway, preserving attribution between the initiating user and the executing agent.
Founded 2021