As AI adoption accelerates across India's financial sector, organizations are facing growing challenges in governing AI, machine learning, Generative AI, and third-party models while keeping pace with evolving regulatory expectations, operational risks, and accountability requirements.

RBI's Draft Guidance on Regulatory Principles for Model Risk Management (MRM) 2026 marks a significant shift in enterprise-wide model governance. Moving beyond traditional statistical and credit risk models, the guidance introduces expectations for AI/ML, Generative AI, agentic AI, rule-based systems, and third-party models across regulated financial institutions.

For many organizations, this means model governance can no longer be treated as a narrow technical control. It now requires stronger oversight across the full model lifecycle, including inventory management, validation, monitoring, documentation, human review, and clear ownership across business, risk, compliance, and technology teams.

Watch this webinar to understand what the draft guidance means in practice, the governance capabilities organizations should establish, and how to prepare for the next phase of AI governance and model risk regulation.

What You'll Learn

• Understand the scope and impact of RBI's Draft MRM Guidance 2026 on AI and enterprise model governance.

• Explore key governance expectations, including board oversight, model inventories, validation, monitoring, and human oversight.

• Learn practical approaches to governing internal and third-party AI systems while maintaining accountability.

• Discover how the guidance aligns with NIST AI RMF, ISO/IEC 42001, and the DPDP Act.

• Gain a practical roadmap to assess readiness and prepare for emerging regulatory requirements.

Who Should Watch

Chief Risk Officers, CISOs, CDAOs, AI governance leaders, model risk teams, compliance professionals, auditors, security leaders, and digital transformation leaders.