AI Governance for the Defense Contractor Back Office
Defense and government contractors are adopting AI faster than they can govern it, and the riskiest exposure is internal. This is a look at how administrative AI use collides with CUI rules, export control, and CMMC.
Where the data actually goes
Picture an engineer the night before a proposal is due, condensing a technical data package so a program manager can skim it before review. To save an hour, a chunk of it goes into a chatbot. This is the back office, and it handles the sensitive information a contractor holds: proposals and technical volumes, System Security Plans, POA&Ms, configuration management records, and the personnel and clearance files behind all of it. People picture the risk in defense work as a field system or a weapon. The everyday exposure is in these administrative artifacts.
We built LogicNerve around the failure we worry about most. A well-meaning employee moves controlled information into a system nobody approved, and the company may never learn that it happened. In this industry that is a compliance event with contractual and legal consequences, and it can put a contract at risk.
CUI handling rules follow the data into the tool
Controlled Unclassified Information has handling requirements that follow it everywhere, and NIST SP 800-171 Rev. 2 spells out what protecting CUI in a contractor's own systems actually means. It requires access control and configuration management, and the audit logging under control family 3.3 assumes you can reconstruct who did what to which record. A public model defeats that the moment information is pasted into it. Once the data leaves your boundary there is no audit record and no way to attest that it stayed inside an approved environment, so the custody the control was meant to preserve is simply gone.
This is most acute in administrative work. The people writing SSPs and assembling contract deliverables handle CUI all day and reach for whatever tool makes the writing go faster. If that tool is ungoverned, the SSP that documents your safeguards can itself be drafted in a way that violates them.
ITAR and foreign-person disclosure
Under 22 CFR Part 120, defense technical data cannot be disclosed to foreign persons, and disclosure includes routing that data through a cloud or AI service where a foreign national could access it. A model with global infrastructure and opaque data handling can amount to an export the moment controlled technical data enters the prompt. There is no shipment and no border crossing involved; an engineer is simply trying to reword a paragraph from a technical data package. ITAR also requires that records be kept for years, and a shadow tool generates none of them.
An engineer pastes a controlled drawing description into a public model to clean up the wording, and that technical data is now outside the company, possibly outside the country, with no record it ever left.
Can you prove it to an assessor?
The DoD's Cybersecurity Maturity Model Certification program exists because self-attestation was not enough. A contractor now has to demonstrate that the safeguards protecting Federal Contract Information and CUI are actually implemented, which means showing where data flows and producing the audit trail that backs it up. Ungoverned employee AI use is a hole in exactly that story. When an assessor asks how a given tool is used against CUI, the honest answer for most contractors today is that they do not fully know.
What closes that hole is routing every request through approved, department-owned agents. Policy gets checked before the model ever sees the data, and each request leaves a record an assessor can read: which employee, which document, which model, what was sent, and the policy decision that allowed or blocked it. Banning AI outright tends to backfire. The usage moves underground, and the security team loses whatever visibility it had. Governed agents give the contracts and engineering teams real AI to work with, while the security team keeps logs and policy controls it can actually put in front of an assessor.
Get in touch to see how LogicNerve can help your organization adopt AI responsibly.
Sources
ITAR, 22 CFR Part 120: International Traffic in Arms Regulations (eCFR)
U.S. Department of Defense: Cybersecurity Maturity Model Certification (CMMC) Program