An offboarded contractor’s personal access token remains in a CI pipeline, and a nightly job suddenly starts pulling a private repository, compiling code, and pushing binaries to production. The security team scrambles to discover who triggered the run, what commands were executed, and whether any secrets were exfiltrated. This is a classic incident response challenge for code execution: you need precise visibility, the ability to halt dangerous actions in real time, and a reliable audit trail that survives the chaos of a breach.
Most organizations rely on scattered log collectors, static service accounts and ad‑hoc script wrappers. Those pieces give you a rough timeline, but they rarely capture the exact command line, the live output, or the identity that originated the request. Without a single control surface, investigators waste hours stitching together cloud‑watch logs, SSH audit files and CI system records, often missing the moment a malicious command slipped through.
An effective incident response capability must satisfy three conditions. First, it has to know **who** initiated the execution and **when**. Second, it must be able to **intercept** or **block** unsafe commands before they affect production. Third, it should retain an immutable replay of the entire session so that post‑mortem analysis can be performed without guessing. Meeting those requirements calls for a gateway that lives in the data path, not just a collection of peripheral tools.
Enter hoop.dev. hoop.dev is an open‑source Layer 7 gateway that sits between identities and any code‑execution target, whether that target is a CI runner, an SSH host, a Kubernetes pod or a database console. By proxying the connection, hoop.dev can enforce just‑in‑time approvals, mask sensitive fields in responses, block dangerous commands, and record every session for later replay.
Why the data path matters for incident response
Only the component that actually carries the traffic can guarantee that every operation is observed and controlled. hoop.dev fulfills that role by becoming the sole conduit for the execution request.
Setup: identity and least‑privilege grants
Engineers, service accounts and AI agents authenticate to hoop.dev via OIDC or SAML. The gateway verifies the token, reads group membership, and determines whether the request is allowed to start. This step defines **who** can attempt a connection, but it does not enforce any runtime policy.
Data path: the gateway enforces controls
Once the identity is accepted, the request passes through hoop.dev’s proxy. At this point hoop.dev can:
- Inspect each command before it reaches the target.
- Require a human approval for high‑risk operations.
- Mask secrets that appear in command output.
- Record the full request/response stream for later replay.
Because hoop.dev sits in the data path, no command can bypass these checks without going around the gateway, a scenario that would break the security model.
Enforcement outcomes: audit, masking, approval, replay
All of the incident‑response benefits stem directly from hoop.dev’s actions in the data path. hoop.dev records each session, so investigators can replay the exact sequence of commands and responses. hoop.dev masks sensitive fields, preventing accidental leakage during forensic analysis. hoop.dev blocks disallowed commands, limiting blast radius during an active breach. hoop.dev routes risky operations to a just‑in‑time approval workflow, ensuring that privileged actions are always witnessed.
Applying hoop.dev to a code‑execution incident
When a suspicious execution is detected, the response workflow looks like this:
- Capture the session. hoop.dev automatically stores the full request and response stream as soon as the connection is opened.
- Identify the initiator. The recorded metadata includes the OIDC subject, groups and timestamp, giving a clear audit trail.
- Inspect output. Inline masking ensures that any secrets that appeared in the output are redacted, protecting them from accidental exposure during analysis.
- Block further damage. If the session shows a command that could compromise the environment, hoop.dev can immediately terminate the connection or prevent the next command from executing.
- Replay for post‑mortem. The stored session can be replayed in a safe sandbox, allowing the team to understand the exact impact without re‑creating the environment.
By centralising these steps, hoop.dev reduces the mean‑time‑to‑investigation and eliminates the need to cross‑reference disparate log sources.
Getting started
Deploy the gateway with the official Docker Compose quick‑start, configure OIDC authentication, and register your code‑execution targets. The getting‑started guide walks you through each step, and the learn section provides deeper coverage of masking policies, approval workflows and session replay.
FAQ
Q: Does hoop.dev replace existing CI secrets management?
A: No. hoop.dev consumes the existing OIDC identity and the credentials you already provision for the target. It adds runtime guardrails without altering your secret‑store.
Q: Can hoop.dev be used with automated agents?
A: Yes. Service accounts authenticate via OIDC, and hoop.dev still records and masks their activity, giving you the same visibility as with human users.
Q: How long are sessions retained?
A: Retention is configurable in the deployment. The platform stores the raw stream for the period you define, ensuring compliance with your audit policies.
Explore the open‑source repository on GitHub to see the code, contribute improvements, or spin up a local test environment.
