Investors and enterprise buyers are asking about AI risk posture. Here is what to document before your next diligence call.
Series A diligence in 2026 increasingly includes AI-specific questions: What models do you use? Where does customer data flow? How do you detect prompt injection?
Most startups answer with ad-hoc spreadsheets. Buyers interpret that as unknown risk — and either slow the deal or demand expensive remediation mid-process.
A structured AI Risk Health Check maps your stack against NIST AI RMF and OWASP LLM Top 10 in under a week. You get a scored report, prioritized findings, and a roadmap your engineering team can execute.
The teams that close faster treat AI security as a product surface: documented policies, named owners, and evidence of detection — not a slide that says "we use OpenAI responsibly."
Start with three artifacts: an AI inventory (every model and integration), a one-page acceptable use policy, and a single owner for AI security questions. That alone puts you ahead of most seed-stage peers.
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