Navigating AI Compliance in 2026: Which Framework is Right for Your Organization?
As AI becomes embedded across enterprise operations, organizations are facing growing pressure to demonstrate that their AI systems are governed, secure, and aligned with business, regulatory, and customer expectations. Choosing the right AI compliance framework is no longer just a governance decision—it’s a business imperative.
In this expert-led discussion, Tevora’s AI and compliance specialists Dr. James Sayles, Anir Desai, Jason Lee, and Brandon Richardson explore today’s leading AI governance frameworks, including ISO 42001, HITRUST AI, and NIST AI RMF. The panel discusses how organizations can evaluate each framework based on their industry, risk profile, and business objectives while building practical, defensible AI governance programs.
Key Takeaways:
- How ISO 42001, HITRUST AI, and NIST AI RMF compare in purpose, scope, and implementation
- Why AI governance has become a board-level priority
- How to select a framework based on organizational risk, industry, and stakeholder expectations
- Best practices for building audit-ready AI governance and demonstrating effective controls
- How to integrate AI risk into existing cybersecurity and GRC programs instead of creating a separate governance function
- Practical first steps for organizations beginning their AI governance journey
Whether you’re evaluating AI governance frameworks for the first time or looking to mature your existing program, this session provides practical guidance for building a risk-based, defensible approach to AI governance that can evolve alongside rapidly advancing AI technologies.
