“Risk managers are struggling to capture AI in their traditional model risk definitions, taxonomies and inventories. What’s the best way forward?”– Gary Lynam, Managing Director
What you’ll learn
- How to update your risk taxonomy for the impacts of AI
- Updating your risk appetite for AI-related risks to ensure balancing of risks and opportunities
- Defining your AI-related objectives and aligning them to your AI-related risks
- Governance and GRC changes required to manage AI risk: does your organization need a Chief AI Officer?
- How Protecht’s AI Governance Marketplace Package supports implementation
Who should attend?
- Chief risk officers: Understand how to embed AI risk into your ERM framework
- Compliance managers: Stay ahead of tightening regulations on AI accountability
- GRC leaders: Learn how to adapt existing frameworks for AI risk and governance
- IT and AI governance leads: Get tools to govern AI usage and vendor exposure
How Protecht helps
- AI Governance Marketplace Package aligned to global best practices
- Flexible, risk-based framework for AI risk and control management
- Embed AI oversight into your enterprise GRC processes
- Role clarity and accountability in AI decision-making
- Clear, auditable documentation and reporting for AI risks