AI governance in the language your examiner speaks.
Most AI content is written for engineers or for enterprises with a CISO and a GRC team. This library is written for the person who owns risk at a credit union, an RIA, or a community bank — and who's going to be asked about AI with no one to hand it to. Practitioner-to-practitioner. Teach first. Honest about what each approach covers and what it doesn't.
There's a translation gap in the market.
Protocol drops, standards updates, and regulatory news get covered for developers and for the Fortune 500 — but almost no one turns them into do-this-Monday guidance for a one- or two-person compliance program. We built NobleCloak to close a specific hole (an examiner-ready AI vendor-risk assessment small institutions can actually afford), and we built this library because the fastest way to earn a regulated buyer's trust is to be useful before you ever sell them anything.
- —Facts are sourced and linked
- —Our opinion is clearly labeled as ours
- —Every piece names what our approach does not cover
Everything we publish, in one place.
Start with whichever shelf matches what you're facing this week.
Governance Watch — our take on the news
A practitioner's read on every AI governance and protocol drop that matters to a regulated team: MCP, A2A, agentic UI, NIST AI RMF, Reg S-P, SR 26-2, the EU AI Act. What happened, why it matters, what to do about it, and what to watch out for.
ExplorePlaybooks — the how-to
Step-by-step guides for the work itself: running an AI data call, building a Reg S-P oversight file, reading OAuth grants to map your shadow-AI surface, and the vendor due-diligence questions that actually matter.
ExploreCompare — the honest difference
Framework-shaped, no trash-talk: a free checklist vs. an assessment where the questions are answered, a snapshot vs. continuous monitoring, enterprise GRC vs. a report built for a program of one or two.
ExploreThe ideas that name the problem
The pieces that put words to what you're feeling — your vendors are adding AI without telling you, shadow AI is an access problem, not a traffic problem. Wedge vocabulary, not abstract manifestos.
ExploreAI Governance Glossary — the reference
Plain-language definitions written for compliance officers, not engineers: TPRM, Reg S-P, 07-CU-13, NIST AI RMF, SR 26-2, shadow AI, OAuth grants, MCP, agentic AI, evidence binder, examiner-ready, and more.
ExploreThe AI Evidence Series — the monthly webinar
What examiners will actually ask. A monthly, teach-not-pitch session that walks through one concrete piece of AI-exam readiness at a time, live, with the artifacts on screen.
ExploreFour places compliance owners usually start.
I'll be asked about AI and I have nothing to show.
Start with a Discover scan and the Playbooks series — the evidence binder, built for you and with you.
The Reg S-P deadline passed and my vendors won't answer me.
Start with the RIAs & Broker-Dealers page and the Reg S-P AI vendor file.
My vendors are adding AI and nobody told me.
The Discover scan reads your OAuth-discoverable AI surface — see what it finds.
I keep hearing "MCP" and "agents" and don't know what it means for an exam.
The Governance Watch series and the AI Governance Glossary translate the vocabulary.
Behind every Discover scan sits a research library.
A human-curated library of what AI vendors actually do with data — the source we enrich findings against. It's not a page you browse; it's the reason a finding in your report can say "recordings retained, no SOC 2 on file" instead of "see vendor's website."
Ready to see what a Discover scan finds?
Or join us live for the next AI Evidence Series session — no pitch deck, just the artifacts.