Approval workflows for AI coding agents on Okta

When an AI coding agent pushes changes without human oversight, a single stray command can corrupt production data or expose secrets, leading to costly roll‑backs and reputational damage. The risk grows when the agent is granted broad credentials that let it reach databases, Kubernetes clusters, or internal services directly.

Why approval workflows matter for AI coding agents

AI‑driven code assistants accelerate development, but they also introduce a new attack surface. An automated tool may generate a migration script that drops a table, or an autocomplete suggestion might embed an API key in a log file. Without a gate that asks a human to confirm intent, the organization loses the ability to intervene before damage occurs. Approval workflows provide a deliberate pause, ensuring that every privileged action is reviewed, logged, and only executed when it aligns with policy.

What the current setup provides

Most teams already rely on Okta (or another OIDC/SAML provider) to issue short‑lived tokens for service accounts and AI agents. This identity layer determines who is making the request and whether the token is still valid. It is a necessary foundation because it prevents anonymous access and enables least‑privilege token scopes.

However, identity alone does not dictate what the request can do once it reaches the target infrastructure. The token is presented directly to the database, the Kubernetes API, or the SSH daemon, which then honors the request without any additional checks. The result is a system where the request travels from the agent to the resource unchecked, leaving no record of the decision that allowed it.

Where the gap remains

The missing piece is a control point that sits between the identity verification step and the actual resource. Without that data‑path gateway, the organization cannot enforce approval workflows, mask sensitive fields in responses, or capture a replayable session. The request still reaches the target directly, and any attempt to add an approval step would have to be baked into each downstream service, a fragile and inconsistent approach.

Implementing approval workflows with hoop.dev

hoop.dev is designed to fill the exact gap described above. It acts as a Layer 7 gateway that intercepts every connection from an AI coding agent after Okta has authenticated the request. By placing the enforcement logic in the data path, hoop.dev can require a human to approve the operation before the command is forwarded to the target.

How the gateway enforces the workflow

When an agent initiates a connection, hoop.dev validates the OIDC token against Okta, extracts group membership, and then checks the request against a policy that mandates approval for privileged actions. If the policy matches, hoop.dev blocks the command and raises an approval request to the designated reviewer. Only after the reviewer explicitly approves does hoop.dev release the command to the downstream database, Kubernetes cluster, or SSH server.

Because hoop.dev is the only component that can forward traffic, the approval requirement cannot be bypassed by re‑using the original token or by contacting the resource directly. The gateway therefore becomes the single source of truth for whether a privileged operation is allowed.

Session recording and audit trail

Every approved session is recorded by hoop.dev. The recording includes the original request, the approval decision, and the full response stream. This audit trail makes it possible to replay exactly what the AI agent did, who approved it, and what data was returned. hoop.dev stores the logs in a location that the agent cannot directly modify, reducing the risk of tampering with the evidence.

When auditors ask for proof of control, hoop.dev supplies per‑session logs that show the complete lifecycle of each privileged request, satisfying the evidence‑generation requirement for most compliance frameworks.

Getting started

To add approval workflows for your AI coding agents, start with the getting‑started guide. It walks you through deploying the gateway, configuring Okta as the identity provider, and defining a policy that requires approval for the actions you care about. The learn section contains deeper explanations of policy syntax, reviewer assignment, and session replay.

All of the configuration lives in declarative YAML files, and the gateway runs as a Docker container or in Kubernetes, depending on your environment. Because hoop.dev is open source, you can inspect the code, contribute improvements, or fork the repository to suit specialized needs.

Explore the source code on GitHub to see the implementation details and to start a local development environment.

FAQ

Do I still need to manage credentials for the target systems?

Yes, hoop.dev stores the credentials it uses to talk to databases, Kubernetes clusters, or SSH hosts. The agents never see those secrets; they only present the Okta‑issued token to hoop.dev.

Can I require approvals only for certain commands?

Absolutely. Policies can match on command patterns, target resources, or user groups, so you can enforce approval for destructive actions while allowing harmless reads to pass through.

What happens if an approval request is ignored?

hoop.dev will keep the request pending until a reviewer explicitly approves or rejects it. If no decision is made within the configured timeout, the request is automatically denied, preventing accidental execution.