An independent identity platform for workforce and customer identity, providing SSO, adaptive MFA, lifecycle management, and a broad application integration catalog for SaaS and on-premises environments.
Okta governs human identity: who employees are, how they authenticate, and which applications they can reach. The gap appears when the identity in question is not a person at all. Okta was not designed to govern microservices, AI agents, or CI/CD pipelines, and the service-account workaround teams use to fill that gap creates ungoverned machine identities inside a system built for humans. Aembit fills the layer Okta does not cover: it governs non-human runtime access using workload attestation and short-lived credentials, and connects to Okta in two concrete ways — for Aembit administrator sign-in, and for blended identity in agentic AI scenarios where user context from Okta and AI agent workload identity are combined into a single access decision.
Aembit does not replace Okta. Okta governs human identity and application access, a problem Aembit was not designed to solve.
Aembit integrates with Okta via SAML 2.0 or OIDC 1.0. Organizations that already have Okta deployed get:
– Administrator single sign-on to the Aembit platform using existing Okta credentials, so security and platform teams do not need a separate Aembit login. Aembit supports both SAML 2.0 and OIDC, with automatic user creation mapped from Okta group attributes to Aembit roles.
– Blended identity for agentic AI scenarios. When an AI agent acts on behalf of a human, Aembit redirects the user to Okta for authentication, captures the resulting OIDC claims (email, groups, custom attributes), and combines them with the AI agent’s workload identity into a single access decision. This means policies can express rules like “only members of the security-team group in Okta can use Claude Desktop to access the vulnerability scanner,” which neither Okta alone nor the agent runtime alone can enforce.
– Per-user credential isolation in agentic workflows. Each user’s AI agent session receives different downstream credentials based on their Okta-attested identity, so revoking one user’s access does not affect others and no shared service account is required.
– A unified audit trail that combines Okta’s human authentication record with Aembit’s workload access log, producing the dual-attribution evidence that SOC 2, HIPAA, and PCI auditors require for AI agent access.
Resources:
Integration guide
Setup (SAML 2.0)
Setup (OIDC)
Blended identity
Okta and Aembit solve different problems at different layers of enterprise identity infrastructure.
Okta governs human identity: it knows that alice@company.com is authenticated via MFA, belongs to the engineering group, and is authorized to access Salesforce, Slack, and the company’s internal wiki. That model is built around a person, a login event, a session, and an access review workflow.
None of that applies to a microservice, a data pipeline, or an AI agent executing tasks autonomously. The gap is real, and the workaround teams reach for — creating service accounts as Okta users — creates machine identities inside a system that was not designed to govern them. Those accounts accumulate permissions without owners, skip access review cycles, and persist indefinitely.
Aembit eliminates this pattern. Workloads authenticate through Aembit using cryptographic attestation tied to their runtime environment (Kubernetes service account, AWS metadata, GitHub Actions OIDC token, and so on), not a stored credential. Access is governed by policy, is least-privilege by design, and generates a complete audit trail for every access event.
The two tools complement each other without overlap. Okta continues to govern which employees can access which applications. Aembit governs which services, agents, and pipelines can reach which APIs, databases, and internal systems, at runtime, without static credentials.
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