Kapolei, Oʻahu, Hawaiʻi
Pacific AI Labs builds the security, privacy, and governance layer for AI — MCP gates, trustworthy skills, custom builds, consulting, and training. AI moves fast; a human still holds the final yes.
Why we started
"It started with a YouTube tutorial. I downloaded an AI 'skill' and found hidden Russian text buried inside it — and realized how easily a skill can carry something unsafe. So I set out to build the opposite: skills you can actually trust."
— Amanda Malave, Founder & Safety Officer · About us →
What we build & offer
Security MCPs that gate AI-written code · trustworthy AI skills · custom app & automation development · and security, privacy & governance consulting and training. The through-line: AI can move fast, but nothing reaches your machine, your data, or your customers unchecked.
Our first MCP server reads every line of AI-generated Python against a strict policy and returns PASS or BLOCKED — before anything executes, and without ever running it. Deterministic, fail-closed, model-agnostic.
See the use case →website-precheck: a free, open-source skill that checks Security, Governance, Privacy, Speed, Accessibility & SEO — and writes the actual fix code for your site, not just a checklist. Built the opposite way to the one we found with hidden instructions buried inside.
We build apps and automations with AI in the loop — and the same discipline around them: isolated environments, live re-execution, and a human sign-off before anything ships.
Security, privacy & governance — fractional, project-based, or 1-on-1. Threat models, data-governance and AI-ethics policy, and reviews — or we build the safeguard for you.
Building safely with AI — for teams, and for teens, adults, and seniors. Plus governance, data governance, and AI ethics, taught with three LLMs checking the material.
How we work
Using AI to build security tools only helps if the way the models work together is disciplined. Ours runs on a few hard rules.
Claude, Gemini, and GPT build and red-team the work from separate, least-privilege environments — because no single AI is reliable enough to trust alone.
A claim counts only when the check is re-run and seen to pass. Independent review found four bypasses our own testing missed — all fixed, all kept as permanent tests.
Findings are staged as recommendations; nothing ships without a person's explicit sign-off. That's governance, not just security — who decides, and what's on record.
Explore the Security MCP, read about who we are, or start a conversation about consulting and custom builds.