Six Controls for AI Regulatory Readiness

AI regulation is moving from broad principles to concrete expectations around access, data protection, integrity, and incident reporting. There is no universal checklist, but the same security themes keep appearing, and NIST offers a practical way to organize your response.

AI systems rely on the identities, permissions, and data you already manage. In this webinar, we'll show how six familiar security controls help protect AI models and training data from exfiltration and poisoning. A practical path through the NIST AI RMF, with examples showing how to evidence each control.

What you'll learn

• Which NIST AI documents to use now, and how they fit together
• The six security controls that address both model exfiltration and poisoning
• How to tie each control to NIST AI RMF outcomes
• How Netwrix Auditor reports provide visibility and evidence for each control
• Seven questions to assess your own readiness