If your organization holds or is pursuing a DoD contract with a DFARS 252.204-7021 clause — “Contractor Compliance with the Cybersecurity Maturity Model Certification Level Requirement” — you have a CMMC compliance representation obligation. AI sits inside that obligation indirectly: when AI systems process, store, or transmit Controlled Unclassified Information (CUI), the CMMC controls you attest to under 7021 attach to those AI systems too. Get the underlying CMMC representation wrong and you face False Claims Act exposure, not just a cure notice.
What DFARS 252.204-7021 Actually Requires
First, a clarification. DFARS 252.204-7021 is not a standalone AI clause. It is the contractual mechanism that makes a contractor’s CMMC certification legally binding on a covered DoD contract. There is no separate “AI attestation” sub-paragraph in 7021. AI-specific obligations attach through 7021 in two ways:
- Indirectly via CMMC / NIST SP 800-171. If AI systems process, store, or transmit CUI, every CMMC Level 2 control that 7021 requires you to certify against applies to those AI systems. The C3PAO assessor will look at AI tools as part of the assessment boundary — not as a separate AI checklist.
- Indirectly via parallel statute. Section 1513 of the FY2024 NDAA directs DoD to develop AI-specific contractor guidance. As of writing the implementing regulations are still in development; until they land, AI obligations on DoD contractors flow primarily through the CMMC/800-171 control set referenced in 7021, not through a standalone AI clause.
Separately, contractors are increasingly required to make AI-related representations through prime-contractor flowdown letters, DoD AI Ethical Principles compliance statements at the program level, and (where applicable) ITAR/EAR-related controls on AI systems that touch export-controlled technical data. Those AI representations exist — they just don’t live in the four corners of DFARS 252.204-7021.
The remainder of this post treats “DFARS AI attestation” as shorthand for the AI-system-relevant subset of the CMMC representations contractors make under 7021. That is the practical compliance posture defense contractors need to maintain. The framing below covers the inventory, governance, risk, and oversight artifacts you should be able to produce in response to AI-related questions during a CMMC assessment or a prime contractor flowdown review.
The CMMC compliance representation requirements under 7021 obligate contractors to:
The DFARS AI disclosure requirements under 252.204-7021 obligate contractors to:
- Disclose which AI systems are used in contract performance and in what capacity.
- Attest that those systems comply with applicable DoD AI ethics principles, including the five DoD AI Ethical Principles (developed by the Defense Innovation Board and adopted by the Secretary of Defense in February 2020) (responsible, equitable, traceable, reliable, governable).
- Maintain documented governance and oversight mechanisms for those systems.
- Flow the requirement down to subcontractors whose work involves AI in the performance of the prime contract.
The DFARS AI attestation requirements for defense contractors are not limited to purpose-built AI systems. If your program managers are using a large language model to draft deliverables, or your quality team is running an AI-assisted inspection tool, those uses are in scope. The clause does not distinguish between “big AI” and “everyday AI” — it covers any system that meets the DoD’s working definition of AI (derived from Section 238 of the FY2019 NDAA), which is broad enough to include machine learning, rule-based systems, and automated decision tools.
The practical implication: before you sign a contract containing this clause, someone in your organization needs to have inventoried every AI tool touching that contract’s scope of work.
The Four Attestation Elements: Disclosure, Governance, Risk, and Oversight
The attestation is not a single form field. It maps to four discrete compliance areas, each of which requires internal ownership and documentation.
1. Disclosure
Disclosure is the inventory layer. You must be able to identify, by contract, which AI systems are in use, who operates them, and what decisions or outputs they influence. This is the foundation of DFARS AI disclosure requirements — without an accurate inventory, the rest of the attestation is unverifiable.
Disclosure should capture: system name and vendor, intended use in contract performance, whether the system is commercial-off-the-shelf or internally developed, and any third-party data inputs the system relies on.
2. Governance
DFARS AI governance policy requirements demand that contractors have written policies governing AI use — not aspirational statements, but operational policies that specify who approves AI deployments, what review process a new AI tool must pass before use on a covered contract, and how policy violations are reported and remediated.
A governance policy that lives in a SharePoint folder and has never been read by the people deploying AI tools does not satisfy this requirement. The policy must be operationalized, version-controlled, and tied to specific roles.
3. Risk
DFARS AI risk management for the defense industrial base requires contractors to assess the risks their AI systems pose to contract performance, data integrity, and national security. This does not require a full NIST AI RMF implementation (though that framework maps well), but it does require documented risk identification and mitigation for each in-scope system.
Risk documentation should address: potential for biased or erroneous outputs, data provenance and integrity, system reliability under operational conditions, and third-party model risk if you are using a vendor-supplied AI.
4. Oversight
Oversight is the human-in-the-loop requirement. The DoD AI ethics principle of “governable” AI means contractors must be able to demonstrate that a human can intervene, correct, or shut down an AI system affecting contract performance. Document who holds that authority, what the escalation path looks like, and how often oversight mechanisms are tested or reviewed.
DFARS 252.204-7021 Compliance Checklist: What to Document Before You Sign
Use this DFARS 252.204-7021 compliance checklist as a pre-signature gate. Every item should have a named owner and a document reference before the contracting officer receives your attestation.
AI Inventory
- Complete list of AI systems used in contract performance, by contract number
- System classification (commercial, internally developed, hybrid)
- Vendor name and version, where applicable
- Data inputs and outputs documented
Governance Documentation
- Written AI use policy, version-controlled and dated
- Approval authority for new AI deployments identified
- Policy training records for personnel using AI on covered contracts
- Incident reporting procedure for AI-related failures or anomalies
Risk Assessment
- Risk register entry for each in-scope AI system
- Documented mitigation for identified risks
- Third-party model risk assessment (if using vendor AI)
- Data integrity controls documented
Oversight Mechanisms
- Human oversight authority named for each system
- Intervention and shutdown procedures documented
- Oversight review cadence established (quarterly minimum recommended)
Flowdown
- Subcontractor AI use identified
- Flowdown clause included in subcontracts where required
- Subcontractor attestation received and filed
Attestation Form
- DFARS AI attestation form template completed and reviewed by legal
- Attestation signed by an authorized company official (not just the contracts team)
- Attestation retained in contract file with supporting documentation
Regarding the attestation form itself: DoD has not published a single standardized DFARS AI attestation form template as of this writing. Contractors are expected to produce their own documentation that satisfies the clause’s substantive requirements. Some primes are beginning to issue their own templates as part of flowdown packages — if you receive one, treat it as a floor, not a ceiling.
How DFARS AI Attestation Connects to CMMC, NDAA Section 1513, and Prime Flowdowns
DFARS 252.204-7021 does not exist in isolation. It sits inside a compliance stack that is growing in both scope and enforcement urgency.
CMMC 2.0 addresses cybersecurity maturity for controlled unclassified information (CUI). AI systems that process, store, or transmit CUI are subject to both CMMC controls and DFARS AI attestation requirements. The two frameworks are not redundant — CMMC governs the security of your systems; DFARS 252.204-7021 governs the responsible use and governance of AI within those systems.
NDAA Section 1513 establishes additional AI governance requirements for DoD contractors, with a compliance deadline that predates many contractors’ awareness of the requirement. The obligations under Section 1513 overlap with DFARS 252.204-7021 in the governance and disclosure areas but add specific requirements around AI testing and validation.
Prime flowdowns are where many subcontractors first encounter DFARS AI attestation requirements — not from a contracting officer, but from a prime’s compliance team. Primes are increasingly issuing AI flowdown letters that require subs to certify compliance with 252.204-7021 as a condition of subcontract award. These letters often include the prime’s own DFARS AI attestation form template and a tight response window.
Underlying all of this is the need for a documented, repeatable governance structure. An AI Governance Framework for Defense Contractors gives you the architecture to satisfy DFARS AI governance policy requirements across multiple contracts and frameworks simultaneously, rather than building a one-off response for each clause.
Tools and Services That Automate DFARS AI Attestation
Manual attestation processes — spreadsheets, shared drives, email chains — create two problems. First, they are slow, which means attestations get signed before the underlying documentation is complete. Second, they are not auditable in the way a contracting officer or DoD inspector expects.
DFARS AI attestation software solutions address the inventory and documentation problem by maintaining a live AI system registry tied to contract numbers, automating risk assessment workflows, and generating attestation packages that include supporting evidence. The better platforms integrate with your existing GRC tooling so that DFARS AI risk management data flows into the same system tracking your CMMC controls — eliminating the duplicate-documentation problem that plagues mid-size defense contractors.
Key capabilities to evaluate in any DFARS AI attestation software solution:
- AI system inventory management with contract-level tagging
- Policy version control with acknowledgment tracking
- Risk register with mitigation workflow and evidence attachment
- Attestation package generation that produces a complete documentation set, not just a form
- Flowdown management to track subcontractor attestation status
- Audit trail that satisfies both internal review and external examination
DFARS AI attestation consulting services are the right starting point if your organization does not yet have a governance baseline. A consulting engagement typically covers gap assessment against the clause requirements, policy drafting, staff training, and first-attestation support. The primary advantage is timeline compression — a firm that has run this process for other defense contractors will reduce a six-month internal effort to six to eight weeks.
When evaluating consulting providers, look for demonstrated experience with both DFARS and CMMC — not just general AI governance. The intersection of DoD acquisition law and AI risk management is a narrow specialty, and generalist AI consultants often miss the contract-specific nuances that matter most.