Use AI across your business — without breaking compliance.
Your team wants the productivity of AI. Your agency and prime customers want it governed. You can have both — a compliant AI program built to NIST AI RMF and ISO/IEC 42001, deployed, trained, and maintained by Greypike.
Shadow AI is already in your environment. The question is whether it's governed.
Staff are pasting sensitive information into public chatbots. Copilot and Gemini are landing in tenants with no usage policy. And procurement teams are starting to ask contractors to prove their AI is managed. Unmanaged AI turns a productivity win into a compliance and security exposure.
Data leakage
CUI, FCI, or PII pasted into public models leaves your boundary and your control the moment it's submitted.
No governance record
No AI policy, inventory, or risk assessment means nothing to show when a prime or agency asks how AI is managed.
New attack surface
Prompt injection, model misuse, and over-permissioned AI agents create risks your existing controls weren't built for.
Not AI theater. A program mapped to the standards your customers already reference.
We don't invent a proprietary rulebook. Your AI program is built on the two frameworks that matter for government work — the risk methodology and the certifiable management system — so your governance is defensible, not decorative.
The risk methodology
NIST AI RMF
The de facto standard for U.S. federal contractors and a growing procurement expectation. Structures how you Govern, Map, Measure, and Manage AI risk — including AI-specific security concerns like prompt injection, along with bias, explainability, and hallucination. Crosswalks cleanly to the NIST 800-series your compliance program already lives in.
The certifiable standard
ISO/IEC 42001
The world's first certifiable AI management system standard. Where NIST AI RMF tells you what to address, ISO 42001 provides the how — the organizational management system you can audit against and, when you're ready, certify to as third-party proof for customers.
A note on honesty: NIST AI RMF is a voluntary framework, not law. We position it as what it is — a de facto procurement expectation for government contractors — and build your program so it holds up under real scrutiny, never as a checkbox that overstates your posture.
The ground is shifting — across the whole government market, not one corner of it.
AI-use expectations are moving into government contracts on multiple fronts at once. No single rule carries the risk; the pattern does. If you sell to government, proving your AI is governed is becoming part of doing business.
Federal
NIST AI RMF is becoming a procurement expectation
Federal agencies and prime contractors increasingly reference AI RMF alignment when they evaluate vendors — a voluntary framework that functions as a de facto requirement.
Defense (DIB)
AI security is heading into DoD contracts
The FY2026 NDAA directs DoD to build an AI/ML security framework and fold it into DFARS and CMMC — putting AI controls on a path to becoming contractual for defense work.
State & Local
State AI rules and standards are landing
State governments are adopting AI-use policies and referencing NIST standards, so contractors serving state and local agencies face rising governance expectations of their own.
We track these developments so you don't have to chase them — and we build your program to hold up regardless of which requirement reaches your contracts first.
Assess. Build. Operate. The same disciplined method, applied to AI.
A compliant AI program isn't a document you buy once. It's governance you stand up, a workforce you train, and security you maintain as models, agents, and rules keep changing.
01 — ASSESS
AI Readiness & Risk
We map where AI already lives in your organization and where it's headed, then measure it against NIST AI RMF.
- AI system & tool inventory
- Shadow-AI discovery
- Risk assessment & gap analysis
- Data-flow & boundary review
02 — BUILD
Governance & Training
We stand up the policy, controls, and workforce readiness that make AI use safe and defensible.
- AI acceptable-use & governance policy
- Roles, oversight & approval workflow
- Workforce AI security training
- ISO 42001-aligned management system
03 — OPERATE
Ongoing AI Security
We keep the program alive — monitoring, reviewing, and updating as your AI footprint and the rules evolve.
- Ongoing monitoring & usage review
- Model & agent change management
- Prompt-injection & misuse safeguards
- Evidence kept current for audits
AI security that follows your work — inside the enclave or across your business.
When your AI runs inside the Managed Compliant Enclave, it inherits the boundary, controls, and monitoring already in place. When it runs across the rest of your organization, we govern it there too — because AI adoption doesn't stop at the CUI boundary.
One program, wherever your AI lives. Managed by Greypike's Cyber AB-certified practitioners, with no black boxes you can't see into.
Handling CUI? See how we run Copilot & Gemini inside your accredited boundary- In-boundary AI for Copilot & Gemini in the enclave
- Enterprise-wide AI governance beyond CUI
- Continuous risk & usage monitoring
- Workforce training that stays current
- Audit-ready AI evidence, never backdated
Adopt AI like a contractor who has to prove it.
Start with an AI Readiness Session. We'll show you where AI already lives in your environment, what your customers will expect, and what a compliant program looks like for you.
