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AI Governance for Startups

AI governance from day one.

One environment variable. Zero workflow change. Your first enterprise security review, handled — before the questionnaire even lands.

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How Shield works
The Reality

Your team ships fast. Then the questionnaire arrives.

Startups move at warp speed — until a security review blocks the deal. Here's what catches founders off guard.

Engineers on personal laptops with customer data

Your team uses Claude, Copilot, and ChatGPT daily — often on unmanaged devices, pasting in customer PII, API keys, and internal docs without realizing the exposure.

The 40-question security review lands

Your first big enterprise prospect sends a detailed AI governance questionnaire. You have no logs, no policy, no audit trail — and two weeks to respond convincingly.

No visibility, no evidence, no story

When the prospect asks 'How do you govern AI usage?' the honest answer is 'We don't yet.' That answer kills deals. Shield gives you the answer before the question arrives.

How Shield Fits

You keep building. We handle the boring stuff.

Silent proxy. 5-minute install. Your devs won't change a thing. You get evidence, visibility, and a compliance story.

One environment variable

Set SHIELD_PROXY_URL in your env. That's it. Shield intercepts every LLM call without touching your codebase. No SDK, no library, no refactor.

Invisible to your engineers

Devs keep using Claude, Copilot, ChatGPT — same tools, same workflow. Typical latency overhead is under 5ms. They won't notice it's there.

Audit-ready from minute one

Every request logged. Every PII detection timestamped. Every policy enforcement recorded. When the questionnaire lands, you export — you don't scramble.

Real-time dashboard

See what data is flowing through your AI stack right now. PII detections, policy hits, provider usage — all on localhost:6768.

Compliance Evidence

Here's exactly what you hand your prospect's security team.

Not abstract marketing. Concrete deliverables — the evidence enterprise prospects expect before they sign.

AI Data Handling Policy

A board-ready, auditor-reviewed policy document covering AI data governance, retention, and access controls — customized for your stack and ready to hand to any security team.

PII Detection Evidence Log

An exported, hash-chained log of every piece of PII Shield detected and blocked across your AI providers — verifiable, tamper-evident, and formatted for security reviews.

Model Usage Audit Trail

A complete, timestamped record of every prompt sent to every model — which provider, which engineer, what was flagged. Your security team's new favorite artifact.

Deployment Architecture Diagram

A clean, one-page architecture diagram showing exactly where Shield sits in your stack — proxy layer, logging sidecar, dashboard — ready to drop into any RFP or security review.

Pricing

Foundation — $10K flat.

Compliance-ready in an afternoon. Flat price, no per-seat, no usage tiers. One line item on your PO and you're done.

One price · No seats · No usage tiers · No renewal surprises

Intake Portal

Let's Build.

Submit your technical details and we will formulate a production scope, architectural dependencies, and exact model selection profiles.

48-Hour Response SLA
Every request is routed directly to a principal systems engineer.
Zero Cloud Risk
All contracts guarantee strict IP ownership and security boundary isolation.
FAQ

Startup AI Governance Questions

Do I need this if I'm pre-revenue?

If you're not handling customer data yet, you don't need Shield today. But if you're pitching enterprise prospects or handling any third-party data, Shield gives you the compliance story before you need it. Install it in 5 minutes and forget about it until the questionnaire arrives.

Will this slow down my engineers?

No. Shield sits as a local proxy — typical latency overhead is under 5ms. Your engineers won't notice it's there. They keep using the same tools, same workflows, same everything.

What AI providers does this work with?

Claude (Anthropic), GPT-4/GPT-4o (OpenAI), Gemini (Google), Copilot (GitHub), and any OpenAI-compatible endpoint. See /shield/integrations for the full provider matrix.

We can't afford enterprise security tools.

Foundation is $10K flat — no seats, no usage tiers, no renewal surprises. It's priced for startups that need enterprise-ready compliance without enterprise procurement budgets.

What if we switch AI providers later?

Shield is provider-agnostic. The proxy layer doesn't care which backend you point it at. Your logs, policies, and audit trail stay consistent regardless of provider.

How is this different from just using API keys with rate limits?

API keys control access. Shield controls what DATA goes through. PII detection, content policy enforcement, audit logging — these are data-layer controls, not access-layer controls. Your API key can't tell you someone pasted a customer's SSN into a prompt.