Give every OpenAI agent and workload a verified identity, enforce access, and produce a compliance-ready audit trail: whether OpenAI is deployed across your workforce or called directly by agents and services.
Organizations run into the same identity gap wherever OpenAI shows up: deployed across the workforce through agents connected via MCP, or embedded directly into services and applications through the OpenAI API.
Security teams need to close four gaps to deploy OpenAI securely:
sk-proj-... keys that get hardcoded into configs, shared across services, and rarely rotated.
Aembit’s identity control plane covers OpenAI everywhere it shows up in your environment. For OpenAI-powered agents deployed across the workforce, Aembit gives every agent a blended identity tied to but separate from the user’s human identity, and enforces least-privilege access policy at the MCP server level in real time. For agents and services calling the OpenAI API directly, Aembit’s Workload Identity Federation (WIF) Credential Provider replaces static API keys with short-lived tokens.
Every action is attributable, every credential is short-lived, and every policy is enforced from the same console with the same identity, access, and audit controls they apply to the rest of their environment.
Agents, internal tools, and application backends that call the OpenAI API directly need credentials, but most teams give them one the same way they always have: a static sk-proj-... API key, generated once and left to sit in an environment variable or config file until someone remembers to rotate it.
Aembit’s OpenAI WIF Credential Provider replaces that key with a short-lived, identity-based token. Aembit acts as a federated identity provider that OpenAI trusts as an OIDC issuer. When an Aembit Access Policy grants a workload access, Aembit acquires and injects a short-lived OpenAI access token into the outbound request, transparently, with no changes to application code.
Teams already managing workload access through Aembit can bring OpenAI under the same policy model they use for AWS STS, Azure Entra, GCP, and Claude, , with no new key to generate or rotate.
Replace static credentials with ephemeral, single-use tokens.
Unified treatment of human and agent identities within the same access and audit framework.
Exchange short-lived tokens for OpenAI API access with a governed, policy-enforced brokering layer.
Real-time allow/deny decisions at the traffic boundary, before any tool is invoked or data is reached.
A single control plane governing all agent-to-service and workload-to-API access policies across the environment.
Complete, human-agent-attributed logs for full operational visibility.
Empower your teams with Aembit’s IAM for Agentic AI – streamlined identity verification, simplified access controls, and consistent security across every Copilot Studio deployment.
Turn on secure, governed access for every OpenAI agent and workload without slowing down your rollout. Give your security team full visibility, enforce least-privilege by default, and ensure every action is attributable, auditable, and compliant from day one, whether OpenAI is deployed to your workforce or called directly through the API.
