The problem
Your AI assistant has the same access you do.
How it works
Agent reads freely. Agent writes with approval.
Hoop sits between the AI coding assistant and your infrastructure. The agent connects through the gateway, and Hoop applies controls based on what the agent is doing, not just who it is.
The agent queries databases, reads Kubernetes state, and inspects logs. Hoop masks sensitive data in responses (PII, credentials, secrets) so the agent can troubleshoot without seeing customer data.
When the agent needs to apply a fix, deploy a change, or modify configuration, Hoop routes the action for human approval. You see the exact command in Slack. You approve or deny. If denied, the feedback goes back to the agent.
Destructive commands like DROP, DELETE namespace, and rm -rf are blocked outright. The agent never executes them, regardless of what the LLM generates.
The workflow
From broken pod to applied fix. With a human in the loop.
Agent connects
Agent connects to Kubernetes through Hoop to troubleshoot a failing pod.
Agent reads freely
Agent reads pod logs, describes deployments, and inspects configs. All read operations pass through with sensitive data masked.
Fix proposed, approval requested
Agent identifies the issue and proposes kubectl apply -f fix.yaml. Hoop routes this to the on-call engineer via Slack.
Denied with context
The engineer reviews the fix. It is wrong. They deny and leave a note: wrong namespace.
Agent adjusts, fix applied
The agent receives the denial and adjusts. It resubmits with the correct namespace. Approved. Fix applied.
Data masking
The agent sees what it needs. Nothing more.
Hoop intercepts every query response and masks PII, credentials, and payment data before it reaches the model. The agent can still troubleshoot. It just never sees real customer data.
Guardrails
DROP TABLE never reaches your database.
Destructive commands are blocked before execution. No approval flow, no Slack notification, no chance. The agent receives a denial and adjusts its approach.
Audit trail
Every command. Every decision. One log.
Every agent session is recorded with timestamps, commands, approvals, denials, and masked fields. Replay any session for incident review or compliance audit.
ORGANIZATIONAL IMPACT
From governed sessions to enterprise compliance.
Every Claude Code session through Hoop generates audit evidence automatically. Your security team sees organizational risk reduction — not just individual developer sessions.
Your AI coding assistant is already in production. Is anyone watching?
We will connect to your environment and show you exactly what your AI agents can access and what they have been doing.