AI AGENT SIDECAR

Data and context make agents useful.Runtime controls make them safe.

Enforce policy on every action.

Get started freeGet a demo
hoop.dev / What it looks like
acme-prod — claudevia hoop.dev sidecar
>
? for shortcuts · esc to interrupt · hoop.dev sidecar: connected
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

Proactive Controls that Prevent the Incident

Keep your regulated data private and your production systems online.

Data Masking

Mask sensitive data from agents across all protocols. All regulated data is redacted, in flight.

Learn more
Guardrails

Deterministic guardrails that block dangerous operations automatically.

Learn more
Session Analyzer

An agent scores every action's intent and syntax for risk before it executes.

Learn more
Reviews

Risky operations are escalated to a human-in-the-loop for one-off approval.

Learn more

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.

The MCP Problem

Twelve data sources means twelve MCP servers and twelve rule sets to maintain, plus at least one legacy protocol that the MCP doesn't support at all. hoop.dev runs a sidecar that covers every protocol.

HOW IT ATTACHES

No new infrastructure. No code changes.

A sidecar is a lightweight proxy that rides along with one resource you already run. Nothing gets rerouted, nothing gets rebuilt, and the first one is running in an afternoon.

01

Attach

One process next to something you already use: Postgres database, Microsoft SQL Server, an agent sandbox. It uses your existing credentials and doesn't touch your code. Your PAM, SSO, and identity provider stay exactly where they are.

02

Inspect

Every query, command, and response as it happens. Not sampled, not pieced together from logs the next morning. The sidecar sits on the wire, monitoring real traffic.

03

Act

Mask sensitive fields, block unapproved commands, and escalate changes to a human approver in Slack, Teams, or Jira. Each decision happens in under 5ms, before the request affects the resource.

UPCOMING EVENTS

Live|Webinar: AI Runtime Governance

How do you know AI did
what you intended?

Customers, boards, and regulators have stopped asking whether you have an AI policy. They’re asking what your agents actually did, what controls you have in place to stop them, and if you can prove it.

September 21:00 PM ET45 min
Andrios Robert
Andrios Robert
Founder & CEO, hoop.dev · runtime controls for AI agents
Greg Crowley, CISSP
Greg Crowley, CISSP
Founder & Executive Advisor, Runtime Executive · former CISO, eSentire

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.

Get a demoGet started free