You're already asking vendors about SOC 2, ISO 27001, and incident response. But you're probably not asking about their AI systems, training data sources, or how they monitor model drift. Your existing vendor assessment framework was built for traditional software risk. It doesn't catch AI-specific exposures.
This gap is closing fast. In March 2026, the NSA published joint guidance flagging third-party services as the highest-complexity risk vector in AI supply chains. The Treasury Department's Financial Services AI Risk Management Framework, released February 2026, explicitly maps third-party AI risk across the entire AI lifecycle. NIST's expanded 2026 guidance now treats vendor AI assessment as primary, not secondary.
Yet most organizations still evaluate AI vendors using the same questionnaires they used five years ago. Regulators and enterprise buyers are already noticing. The FTC, CFPB, FDA, SEC, and EEOC all reference AI governance principles in enforcement guidance. Enterprise procurement teams are embedding AI governance questions into security assessments. Organizations without documented AI vendor controls face longer sales cycles and competitive disadvantage.
Start with three layers.
Layer One is inventory. Most organizations don't know where AI lives within their systems—including shadow IT and employee-adopted tools like ChatGPT—before they can accurately assess third-party AI risk. Map every vendor that supplies or uses AI. Include cloud services, developer tools, embedded systems, and off-the-shelf software your teams have adopted without formal procurement.
Layer Two is threat modeling specific to AI. Traditional risk assessments ask about infrastructure vulnerabilities. AI threat modeling extends to behavioral vulnerabilities and adversarial inputs. For a vendor-supplied chatbot, your assessment should cover prompt injection, unauthorized data access through conversational exploitation, and model output poisoning. For vendors using LLMs in backend systems, flag data exfiltration risk, training data leakage, and model poisoning. AI supply chains carry six distinct risk areas: training data, models, software, infrastructure, hardware, and third-party services. Your vendor assessment should address all six.
Layer Three is contractual controls. Guidance from the NSA calls on organizations to assess and monitor vendor security practices, require an AI Bill of Materials, and include cybersecurity requirements in contracts. An AI Bill of Materials documents the models, training datasets, dependencies, and versions your vendor uses. Without it, you cannot assess whether a vendor's AI system poses risk to your environment or complies with your regulatory obligations.
Map controls to frameworks your vendors already understand.
NIST RMF is widely used as a technical companion framework for AI Act compliance. If your vendors target EU markets, they're already aligning to the EU AI Act. If they serve federal contractors, they're working toward NIST AI RMF alignment. Organizations already compliant with ISO 27001 can achieve ISO 42001 compliance faster by creating a unified governance structure that integrates information security and AI risk management. Use these frameworks as the lingua franca in your vendor conversations.
The timing matters. By August 2, 2026, organizations must complete conformity assessments, finalize technical documentation, affix CE marking, and register High-risk AI systems in the EU database. If your vendors serve EU customers, they're racing to compliance now. Organizations without documented AI risk management programs face longer sales cycles, additional due diligence requests, and competitive disadvantage. A 2026 survey found that 83% of organizations are already using AI tools, but only 25% have implemented strong governance frameworks.
Do not wait for a mature vendor to push back. Start now by layering AI-specific questions into your existing assessment. Catalog vendor AI systems. Define the threat vectors. Document contractual expectations. This is not a separate program. It's an evolution of the vendor risk work you're already doing.
Get the AI Security Checklist to add AI-specific controls to your vendor assessments and close the gap your current program missed: https://riannstroud.gumroad.com/l/AISecuritychecklist
[1] NSA Vendor Management News - March 2026: https://www.ncontracts.com/nsight-blog/march-2026-vendor-management-news [2] NIST AI RMF and Third-Party Risk: Implementation Guide: https://mitratech.com/resource-hub/blog/nist-ai-risk-management-framework-rmf/ [3] NIST AI RMF 2025–2026 Updates: https://www.ispartnersllc.com/blog/nist-ai-rmf-2025-2026-updates-what-you-need-to-know-about-the-latest-framework-changes/ [4] AI Governance: ISO 42001 as Natural Next Certification: https://www.protechtgroup.com/en-us/blog/ai-governance-iso-42001-certification [5] EU AI Act Compliance Requirements 2026: https://www.legalnodes.com/article/eu-ai-act-2026-updates-compliance-requirements-and-business-risks [6] NIST AI RMF Implementation Guide - TechAhead: https://www.techaheadcorp.com/blog/nist-ai-rmf-implementation/