With session recording in place for Cursor AI coding agents on Azure, every command and response is captured, replayable, and ready for audit.
Today many teams grant Cursor direct network access to Azure resources using long‑lived service credentials. The agent talks straight to databases, storage accounts, or Kubernetes clusters, and the organization has no visibility into what code the model generates, what queries it runs, or what configuration changes it applies. If the model misbehaves, exfiltrating data, issuing destructive commands, or leaking secrets, there is no forensic trail to investigate.
Even when identity providers enforce that only a specific service account may act, the request still reaches the target without any guardrails. The connection carries the full privilege of the credential, and there is no inline inspection, no real‑time approval step, and no immutable log of the interaction. In short, the setup limits who can start a session but does not control what happens once the session is open.
What is needed is a control plane that sits between the AI agent and the Azure endpoint, records every exchange, and can enforce policies such as masking or approval before a risky operation proceeds. This is where an identity‑aware, Layer 7 gateway becomes essential.
Implementing session recording for Cursor agents
hoop.dev provides exactly that gateway. It runs as a network‑resident service that proxies the TCP or HTTP traffic from the Cursor process to the Azure target. The gateway authenticates the agent via OIDC, reads the user’s group membership, and then establishes a connection to the resource using a credential that only the gateway knows. Because the traffic passes through the gateway, hoop.dev can record each request and response pair, store the stream, and make it available for replay later.
Why session recording matters for AI coding agents
- Auditability – Security and compliance teams can retrieve a complete, time‑stamped record of what the AI asked the cloud to do.
- Incident response – When a suspicious change is detected, engineers can replay the exact sequence of commands that led to it.
- Risk mitigation – Knowing that every action is recorded discourages misuse and helps enforce least‑privilege policies.
How hoop.dev captures the data path
The gateway becomes the sole data path for the Cursor session. After the agent presents a valid OIDC token, hoop.dev validates it and maps the identity to an access policy. The policy tells the gateway to enable session recording for that connection. As the AI issues SQL statements, HTTP calls, or kubectl commands, the gateway logs the raw payloads and the corresponding responses. Those logs are written to a storage backend that the organization controls, ensuring that the agent never sees the stored data.
Deploying the gateway
Deploying hoop.dev follows a standard pattern: run the Docker Compose file to start the gateway and its side‑car agent, configure Azure resources in the hoop.dev console, and point Cursor at the gateway’s endpoint instead of the Azure service directly. The getting‑started guide walks through the steps for Azure, including how to bind an Azure service principal to a connection so the gateway can authenticate on behalf of the AI. Once the deployment is complete, any Cursor‑initiated session automatically flows through hoop.dev, where session recording is enforced.
Additional guardrails
While session recording is the focus of this article, hoop.dev also supports inline data masking, command‑level approvals, and replay‑only access for auditors. Those features share the same data‑path architecture, meaning they can be turned on or off without changing the underlying connection model.
FAQ
Q: Why do I need session recording for an AI coding agent?
A: AI agents can act at speed and scale, making it hard to manually track every change. Session recording provides an immutable audit trail, which supports compliance efforts and enables rapid forensic analysis when something goes wrong.
Q: Does hoop.dev store the Azure credentials used by the agent?
A: No. The gateway holds the credential internally and presents it to Azure on behalf of the AI. The agent never receives or sees the secret, reducing the risk of credential leakage.
Q: How long are the recordings retained?
A: Retention is configurable in the gateway’s storage settings. Organizations can align the policy with their own compliance windows. Details are in the learn section of the documentation.
Ready to add session recording to your Cursor workflow on Azure? Explore the open‑source repository and start customizing the gateway today: https://github.com/hoophq/hoop.
