CMMC-Ready AI for the Defense Industrial Base

Your DIBCAC Assessor Will Ask About AI.
We Built the Answer.

Private AI platforms deployed inside your Azure Government CUI enclave. Zero data egress. Zero model training. Mapped to all 110 NIST 800-171 controls. Already deployed for a Tier 2 defense supplier handling ITAR program data — with zero compliance findings.

FedRAMP High Authorization
DoD IL4/5 Cleared Regions
110 NIST Controls Mapped
Zero CUI Exposure
Azure Government CMMC Level 2 Assessed Zero AI-Related Findings

Quick details — then pick a time

Four fields. We pre-fill Calendly so you can grab a 30– or 45-minute slot in one step. No extra landing pages.

Confidential. Opens Calendly in this window with your name and email pre-filled.

The DIB's AI Problem

Defense suppliers are caught in a three-way bind. Here's why most conclude they can't use AI — and why they're wrong.

🚫

Commercial AI Is a Non-Starter

ChatGPT, Copilot, and consumer tools process data on external servers. For CUI or ITAR data, that's a DFARS violation, an NDA breach, and potentially an ITAR export — all in one click.

📄

Your Prime's NDA Looks Like a Ban

Section 3.1.6 prohibits AI use "in a manner that does not comply with disclosure restrictions." Most legal teams read this and stop. But the clause doesn't ban AI — it bans AI that violates confidentiality.

🔍

CMMC Adds Another Layer

Adding AI means updating your SSP, addressing new NIST 800-171 control families, and creating POA&M items. Without an architecture built for CMMC, AI becomes a compliance liability.

Your Competitors Are Moving

While your team manually searches PLM systems for spec revisions, competitors are deploying AI inside their enclaves — answering engineering questions in seconds with source citations.

AI That Lives Inside Your CUI Enclave

Your CUI never leaves your security boundary. The AI model never trains on your data. Microsoft's DPA contractually guarantees it.

Your CUI Enclave
Azure Government
AI Brain — your institutional knowledge
Vector Database — encrypted, no egress
Audit Trail — SIEM-integrated, tamper-proof
RBAC — program-level data segregation
Source Code — you own everything
🔒
API Boundary
Zero Data Egress
🔒
Pre-Trained LLM
No Training on Your Data
Pre-trained on public data only
Stateless — no memory between queries
Your data never modifies the model
Microsoft DPA guarantee
US Gov sovereign regions only
FedRAMP
High Authorization
DoD
IL4 / IL5
110
NIST Controls Mapped
Zero
CUI Exposure

What we cover on a 30–45 minute call

Focused discovery session — not a slide deck. Engineers who’ve deployed private AI inside Azure Government for ITAR-controlled programs.

  • Your Current Architecture Review We'll map where your CUI enclave stands today and identify the gaps before AI enters the picture.
  • NIST 800-171 AI Control Mapping See exactly how AI maps to AC, AU, SC, MP, IA, IR, and CM control families in your SSP.
  • NDA Clause Analysis We'll show you why Section 3.1.6 doesn't ban AI — and give you the clarification language for your prime.
  • Real Deployment Walkthrough See the actual platform we built for a Tier 2 defense supplier handling F-35 program data. Zero compliance findings.
  • Parallel Strategy Roadmap Start with non-CUI use cases now (AP automation, financial analysis) while your enclave finishes standing up.

We deployed this architecture for a Tier 2 defense supplier handling ITAR program data. Same boundary, same NIST 800-171 controls, same CMMC Level 2 assessment. Zero findings related to AI.

— nBrain AI, deployed under ITAR/CMMC constraints
Schedule discovery call →

NIST 800-171 Control Mapping

The mapping your DIBCAC assessor will want to see — already built into our architecture.

Control Family AI Platform Implementation Status
AC — Access Control RBAC via Entra ID, MFA, Conditional Access, program-level segregation Implemented
AU — Audit Tamper-proof logging, Sentinel SIEM, 90-day minimum retention Implemented
SC — System & Comms TLS 1.3, AES-256, private endpoints, VNet isolation, zero egress Implemented
MP — Media Protection Encrypted embeddings, Azure Gov boundary, no export paths Implemented
IA — Authentication Entra ID + MFA, PIM for admin, certificate-based device auth Implemented
IR — Incident Response Defender for Cloud, query anomaly detection, 72-hour DFARS workflow Implemented
CM — Config Mgmt Azure Policy, infrastructure-as-code, change tracking Implemented
PE — Physical Azure Gov data centers — FedRAMP High, DoD IL4/IL5, US-only Azure Provided

Your SSP Already Has 110 Controls. Adding AI Shouldn't Create 110 More Problems.

We've done the NIST mapping. We've passed the NDA scrutiny. We've built the architecture. Grab 30–45 minutes — we'll walk you through it.

Schedule discovery call →