Giving an on‑prem AI coding agent unrestricted access to production services creates a silent liability, and without audit trails you cannot prove who caused a change.
Most organizations deploy agents such as Devin with a single service account that has broad read‑write permissions across databases, Kubernetes clusters, and internal APIs. The agent receives prompts, generates code, and executes it directly against the target. The only record of that activity lives in the agent’s console output, which can be rotated, deleted, or altered, leaving no reliable evidence of what was done.
Even when the service account is provisioned through a federated identity provider, the request still travels straight to the backend system. Identity verification decides who may start a session, but it does not capture the commands that flow through the connection. Without a control point that sits on the data path, there is no immutable audit trail of the agent’s actions.
Common mistakes when trying to audit AI coding agents
- Trusting the agent’s internal logs, which are easy to tamper with or purge.
- Assigning only read‑only roles and assuming that prevents harmful writes, while the agent can still exfiltrate data.
- Embedding credential rotation scripts inside the agent’s runtime, which obscures the true access path.
- Relying on downstream database or Kubernetes audit logs, which do not capture the prompt‑to‑command translation performed by the AI.
- Configuring network firewalls alone, which block traffic but do not record what was attempted.
Why a gateway in the data path is required for audit trails
The first line of defense is to give the AI agent a non‑human identity that is scoped to the minimum set of operations. That limits the surface area, but the request still reaches the target system directly. Only a gateway that intercepts the traffic can observe, enforce policy, and write a trustworthy record of every interaction.
When a gateway sits between the agent and the infrastructure, it becomes the single source of truth for all command‑level activity. It can verify the OIDC token, apply policy checks, mask sensitive fields, and, crucially, store a complete audit trail that includes the identity of the agent, the exact command issued, and the response returned.
How hoop.dev provides reliable audit trails for Devin
hoop.dev is a Layer 7 gateway that proxies connections to databases, Kubernetes clusters, SSH hosts, and internal HTTP services. When Devin initiates a session, the request is routed through hoop.dev. The gateway validates the OIDC token, reads group membership, and then enforces the configured guardrails before forwarding the traffic to the target.
Because hoop.dev is the only point where the traffic passes, it can generate audit trails that capture every prompt‑driven command and its result. The gateway records each session for replay, enabling investigators to reconstruct the full sequence of actions that led to a change. Inline masking protects sensitive data in responses, and just‑in‑time approval workflows can pause risky operations for human review.
Key enforcement outcomes
- Audit trails that record every command and response, tied to the agent’s identity.
- Session recording for later replay and forensic analysis.
- Inline masking of sensitive fields to prevent data leakage.
- Just‑in‑time approval workflows that require human sign‑off for high‑risk operations.
- Command‑level blocking of disallowed statements before they reach the backend.
Implementing the solution
Begin by deploying the gateway on your on‑prem network using the getting‑started guide. The guide walks you through running the Docker Compose quick‑start, configuring an OIDC provider, and registering your resources. Once the gateway is up, use the learn section to define policies that enable audit‑trail recording for AI agents, set up inline masking rules, and configure just‑in‑time approvals.
All of the configuration lives outside the agent, so Devin never sees the underlying credentials. The gateway holds the credentials and enforces the policies, guaranteeing that every interaction is captured and can be reviewed later.
FAQ
- Do I need to modify Devin’s code to use hoop.dev? No. Devin connects with its standard client libraries (psql, kubectl, ssh, etc.). hoop.dev acts as a transparent proxy, so no code changes are required.
- Can I retroactively view actions performed before hoop.dev was installed? hoop.dev records only sessions that pass through it. To capture historic activity you would need to ingest existing logs separately, but future audit trails will be complete once the gateway is in place.
- Is the audit data stored securely? hoop.dev writes each session to a storage backend that you control. The gateway never exposes raw credentials, and the recorded data can be stored in an immutable store of your choice.
Explore the open‑source repository on GitHub to see the full codebase, contribute improvements, and review the licensing details.
