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Just-in-time access for AI coding agents on Okta

When an AI coding agent is granted a permanent API token that never expires, the organization loses any real control over when the agent can touch production databases or internal services. A single compromised secret can let the agent run arbitrary queries, exfiltrate data, or corrupt critical workloads, and the breach often goes unnoticed because there is no record of what the agent did. Just-in-time access limits that exposure by issuing credentials only at the moment an operation is needed,

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When an AI coding agent is granted a permanent API token that never expires, the organization loses any real control over when the agent can touch production databases or internal services. A single compromised secret can let the agent run arbitrary queries, exfiltrate data, or corrupt critical workloads, and the breach often goes unnoticed because there is no record of what the agent did.

Just-in-time access limits that exposure by issuing credentials only at the moment an operation is needed, and revoking them immediately after. The model works well for human engineers, but AI agents typically run unattended scripts that hold long-lived secrets, making the problem harder to solve.

In many teams the current workflow looks like this: an engineer creates an Okta-issued service account, copies its token into a CI secret store, and the AI agent reads the token on every run. The token is static, the agent can connect directly to the target database, and no central component records which queries were executed. The organization gains convenience at the cost of unlimited blast radius.

Just-in-time access for AI coding agents

The missing piece is a control point that sits between the Okta identity and the infrastructure the agent reaches. The control point must be able to verify the Okta token, decide whether the request should be allowed at that moment, and enforce the decision before any traffic reaches the target.

That control point is hoop.dev. It acts as an identity-aware proxy that intercepts every connection attempt, applies policy, and only then forwards traffic to the backend service. Because the enforcement happens in the data path, the agent never talks directly to the database or service; it must pass through the gateway first.

How the gateway enforces just-in-time access

Setup: The AI agent authenticates to Okta and receives an OIDC or SAML token that represents a non-human identity. That token tells the system who the request is and whether it is allowed to start. The token itself does not grant any rights to the target infrastructure.

The data path: hoop.dev receives the token, validates it against the Okta issuer, and extracts group membership or custom claims. It then consults a policy that defines when the identity may access a particular resource. If the policy requires an explicit approval or a time-bound grant, hoop.dev can trigger an approval workflow or check a just-in-time grant that was created moments earlier.

Enforcement outcomes: When the policy permits the request, hoop.dev creates a short-lived credential for the target, forwards the connection, and records the entire session. If the policy denies the request, hoop.dev blocks the connection before any command reaches the backend. Because hoop.dev is the only point that can create or forward credentials, every successful access is automatically audited, and every denied request is provably blocked.

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Why the gateway is essential

Without a gateway, the Okta token would be handed directly to the agent, which would then use it to open a persistent connection to the database. The organization would lose three critical controls:

  • Visibility – there would be no immutable log of which queries the agent executed.
  • Control – the token could be reused indefinitely, even after the business need has passed.
  • Protection – no inline masking or command-level blocking could be applied.

hoop.dev restores all three because the enforcement logic lives in the data path, not in the token itself. If the setup remains unchanged but hoop.dev is removed, none of those outcomes would occur.

Deploying the solution

Start by deploying the gateway in the same network segment as the target resource. The official getting-started guide walks through a Docker Compose deployment, which is sufficient for a proof of concept. An agent runs alongside the database or service and holds the static credential that hoop.dev will use to talk to the backend. The agent never sees that credential; it only receives the Okta token from the AI process.

Next, register the Okta-issued service account as a non-human identity in the gateway configuration. Define a just-in-time policy that requires an approval step for any write operation on the database. The policy can be scoped to specific tables or columns, and hoop.dev will mask those columns in query results if needed.

Finally, point the AI coding agent at the gateway endpoint instead of the raw database address. From the agent’s perspective the connection string is unchanged, but every packet now traverses hoop.dev, where the policy is enforced.

What you gain

  • Short-lived credentials that disappear the moment the operation finishes.
  • Automatic session recording that can be replayed for forensic analysis.
  • Inline data masking that redacts sensitive fields in query results.
  • Just-in-time approval workflows that require a human sign-off before privileged commands run.

All of these outcomes exist because hoop.dev sits in the data path and enforces the policy before any traffic reaches the target. For deeper details see the learn page.

FAQ

Does hoop.dev replace Okta?

No. Okta continues to be the source of identity tokens. hoop.dev consumes those tokens and applies additional runtime controls.

Can I use the same gateway for multiple AI agents?

Yes. Each agent presents its own Okta token, and hoop.dev evaluates the policy separately for each identity.

What happens to the session logs?

hoop.dev records each session in an audit log that can be integrated with existing monitoring or SIEM solutions.

Is the solution open source?

Yes. The code is MIT licensed and available on GitHub.

Ready to try it? Explore the repository and follow the quick-start instructions to protect your AI-driven workloads with just-in-time access.

Open source

Save the open-source gateway for agent data access

Hoop is MIT-licensed infrastructure for controlling how AI agents reach production data. Star hoophq/hoop so you can inspect it, deploy it, or share it when your team starts governing agent access.

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