AI AGENT SIDECAR

Autonomous agents need autonomous controls.

A security agent that inspects every command your AI agents send to your infrastructure, masks what shouldn’t be seen, and blocks what shouldn’t run.

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5,000+Data sources unlocked
for AI agents
<5msAdded latency
per query
920 hrsAI development time
recovered/month

Trusted by engineering and security teams at

THE PROBLEM

Agents act decisively, without context.

An agent with database credentials runs whatever the prompt leads it to. It doesn’t know which table holds regulated data, or that this DELETE is missing its WHERE clause. It just executes, at machine speed, with everything those credentials allow.

You choose what your agents can do, and what they can’t.

Keep your regulated data private and your production systems online.

Read accessBroad

Agents query, inspect, and analyze whatever they need. Sensitive fields are masked in the response, so the agent never sees raw PII, credentials, or secrets.

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Write accessControlled

Every write is evaluated before it lands. Low-risk changes pass through. High-risk changes route to a human in Slack or Teams with the exact command attached.

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Destructive operationsBlocked

DROP TABLE, delete namespace, rm -rf. Commands that match your guardrail patterns never reach the resource. No exceptions.

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Everything elseScored

An agent scores each remaining action for intent and syntax risk before it executes. The edge cases get judgment instead of a default allow.

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Governance that Unblocks the AI Roadmap

The Blocked Use Case

The head of AI wants to let agents query the transaction database, but Compliance blocked the request. Now, hoop.dev masks PII at the wire, so the agent gets its data, compliance gets the audit trail, and the project ships.

The AI Agent

An AI agent needed to query production. hoop.dev masked the sensitive fields before the agent saw them and blocked a destructive command while everything else ran normally. Security read about it in the weekly report instead of getting paged at 3 AM.

OPA for AI Agents

You have OPA at admission and Terraform in CI, but once an agent is connected to the database, nothing is enforcing policy on the session itself. hoop.dev applies rules at the wire: reads flow with masked responses, risky writes wait for approval, and every action lands in one replayable log.

HOW IT ATTACHES

No new infrastructure. No code changes.

The hoop.dev sidecar is a no-code, lightweight proxy that inspects and controls the contents of network traffic before it affects your resources.

You keep your existing IGA and PAM, we make sure every interaction between your agents and infrastructure is safe and documented.

Attach one sidecar. Watch it work on your own traffic.

A 30-minute walkthrough against a resource you already run. No infrastructure project, no new credentials, nothing rerouted.

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