AI Identity

Aembit

Founded 2021Silver Spring, Maryland, USAPrivate (VC-backed)Score 4/5Evaluated 2026-02-10Website ↗

Capability scores

Methodology →
Authentication
4.5
SSO & Federation
3.5
Authorization
4.5
Lifecycle & Provisioning
3.5
MFA & Passwordless
3.0
Governance & Audit
3.5
Developer Experience
4.0
Deployment Flexibility
3.5
Pricing Transparency
2.5
Support & Ecosystem
3.0

Scored 0–5 against a published rubric. Independent analysis, no vendor sponsorship.

Overview

When workloads, services, and AI agents talk to each other and to third-party APIs, they usually authenticate with long-lived secrets that are hard to rotate and easy to leak. Aembit is a workload identity and access management platform that acts as a policy-driven access broker, issuing short-lived credentials based on verified workload identity so secrets do not have to be embedded in code. It targets the runtime enforcement side of non-human identity.

Capability deep-dive

Aembit's strengths are runtime authentication and authorization for machine-to-machine and agent-to-service access: it verifies workload identity, enforces conditional access policy, and injects ephemeral credentials, which meaningfully cuts secret sprawl. Developer experience and policy expressiveness are good. Where it is thinner: it does not handle human identity, SSO, or MFA, governance reporting is lighter than dedicated NHI-posture tools, and the install requires deploying edge components. The category is new, so integrations and AI agent patterns are still maturing. It complements, rather than replaces, discovery-focused NHI platforms and human IdPs.

Pricing

No public pricing. Enterprise subscription scoped by workloads and access volume, sold through a sales-led process; a free tier and trials have been offered for evaluation.

Bottom line

The strongest pick here for runtime, policy-based workload and AI agent access without hardcoded secrets. Combine it with a posture or discovery tool for full NHI coverage.

Independent editorial review. Author: Deepak Gupta. Last evaluated 2026-02-10.