Forensics that capture every agent runtime let investigators replay exact commands while sensitive fields stay hidden.
Today many teams let AI‑driven bots, CI/CD workers, and custom scripts connect straight to databases, Kubernetes clusters, or SSH hosts using static credentials. When an incident occurs, engineers chase fragmented server logs that attackers can overwrite, and the precise sequence of commands disappears.
Without a single observation point, teams cannot enforce command‑level policies, hide personally identifiable information on the fly, or generate reliable audit records for compliance audits. The result is blind spots that let malicious activity persist until damage becomes irreversible.
A data‑path gateway that sits between identities and target services can solve these gaps. It must verify identity, then intercept every request, apply real‑time masking, require human approval for risky commands, and record each session before the traffic reaches the resource.
Placing the enforcement point here creates a single source for forensic data and ensures that every action can be examined later.
hoop.dev implements exactly that architecture. It proxies connections to databases, Kubernetes, SSH, and other supported services, applying masking, approval workflows, and session recording at the protocol layer. Because all traffic passes through hoop.dev, the gateway becomes the only component that can enforce forensic controls.
Forensics capabilities for agent runtimes
hoop.dev records each session from the moment a user or automated agent opens a connection until it closes. The recorded stream includes the exact commands issued, the responses returned, and timestamps that show the precise sequence of actions. Sensitive fields such as passwords, credit‑card numbers, or personal identifiers are automatically masked in the stored logs, ensuring that forensic analysts can review activity without exposing private data. Because the gateway captures traffic at the protocol layer, the replay function reproduces the original interaction byte‑for‑byte, allowing investigators to step through a compromised session as if they were watching it live.
How the architecture isolates enforcement
Identity verification, using OIDC or SAML providers, decides who may initiate a request, but it does not dictate what the request can do. After the token validates, hoop.dev receives the request, sits in the data path, and applies masking, approval, and audit recording. If hoop.dev were removed, the connection would go directly to the resource, and none of the forensic controls would be in effect.
Benefits for incident response
- Instant replay of every agent action, eliminating guesswork during investigations.
- Automatic redaction of sensitive data in logs, reducing exposure risk while preserving investigative value.
- Command‑level approval workflow that forces a human review before destructive operations are allowed.
- Comprehensive audit trail that satisfies internal policy reviews and external audit requirements.
- Unified view across heterogeneous targets, databases, Kubernetes, SSH, so responders do not need separate tools for each protocol.
Operational considerations
Because hoop.dev runs as a network‑resident gateway, teams can deploy it alongside existing infrastructure without modifying the target services. Scaling occurs by adding additional gateway instances behind a load balancer, each sharing the same authentication configuration. Retention policies for recorded sessions are defined at the gateway level, allowing organizations to balance storage costs against forensic needs. The masking engine works on the fly, so no post‑processing is required to produce a compliant audit log.
Getting started
To begin using hoop.dev for forensic capture of agent runtimes, follow the getting‑started guide that walks through deployment with Docker Compose or Kubernetes, configuration of OIDC identity providers, and registration of target resources. The learn section contains deeper explanations of masking, approval workflows, and session replay. All source code and contribution details are available on GitHub.
FAQ
What types of agent workloads can be monitored?
Any process that connects through the supported protocols, PostgreSQL, MySQL, MongoDB, Kubernetes exec or port‑forward, SSH, and HTTP APIs, can be routed through hoop.dev, giving forensic visibility regardless of the runtime language or framework.
Does masking affect the original data in the backend service?
No. Masking applies only to the copy of the response that hoop.dev stores for audit. The backend receives and processes the original data unchanged.
Can I search recorded sessions for specific commands?
Yes. Recorded streams index command text and timestamps, allowing analysts to filter for keywords such as “DROP DATABASE” or “kubectl delete”. This search capability is built into the gateway’s audit interface.
