Identity infrastructure firm Aembit has launched support for Okta Cross App Access, extending enterprise-grade identity controls to AI agents that operate across application boundaries. The integration matters because it tackles one of the hardest problems in non-human identity (NHI) security: governing agents that act across multiple systems under delegated authority, rather than sitting inside a single workload where they can be fenced off.
The problem: agents cross app boundaries, controls do not
Modern AI agents rarely live in one place. A procurement agent may read a request from a ticketing system, query a vendor database, then post a purchase order into an ERP platform. Each hop crosses an application boundary, and each hop has historically required its own credentials, its own authentication, and its own trust decision. Traditional access models were designed for human users opening one app at a time. When an autonomous non-human identity traverses a chain of applications at machine speed, point-to-point credentialing creates sprawl, and security teams lose the ability to enforce consistent policy across the chain.
What the integration delivers
By supporting Okta Cross App Access, Aembit gives enterprises a way to apply uniform identity controls to agentic workflows that span applications. Access decisions can be centralised, so an agent’s permission to act in a downstream app is evaluated against policy rather than a static credential that was minted once and forgotten. Credential handoffs between applications stop being the weakest link, because the trust is established at the identity layer rather than through long-lived secrets passed along the chain. That shifts AI agent traffic from the untracked shadows into governed, auditable channels.
Why delegated authority is the crux
The deeper significance is architectural. Cross App Access models acknowledge that an agent acts on behalf of someone, and that the chain of delegation, who authorised the agent, for what task, with what scope, must be preserved end to end. For NHI governance, this is the difference between an agent that is attributable and one that is anonymous. Attribution enables least privilege scoped to the task, revocation when the human principal’s context changes, and audit trails that answer not just which identity acted, but why it was permitted to act.
What enterprises should watch
Integrations like this one signal where the identity market is heading: identity providers and workload identity specialists converging on the agentic access problem together. Organisations adopting AI agents should insist on three things from their identity stack. First, policy-driven access across application chains, not per-app credentials. Second, delegation-aware auditing that records the human principal behind every agent action. Third, runtime enforcement, since agents move too quickly for quarterly reviews to be the primary control.
As AI agents become standard enterprise workload citizens, the ability to extend existing identity infrastructure, rather than reinventing it per application, will determine whether agentic AI scales securely.