Modernizing Governance, Risk and Compliance in the AI era

As organizations accelerate the use of artificial intelligence, cloud platforms, and automation, traditional Governance, Risk, and Compliance practices are being stretched beyond their limits. This session focuses on how GRC must evolve to support AI adoption without slowing innovation or increasing risk.

In this session, you will learn:

• Why existing GRC models struggle in AI-driven and cloud-native environments
• How AI introduces new risk patterns, regulatory expectations, and governance challenges
• What modern GRC looks like in organizations already running AI in production

We will share practical lessons from real transformation efforts, including:

• How to embed responsible AI governance into existing GRC frameworks
• Ways to modernize risk management for multi-cloud and AI workloads
• How to use automation and cloud-native controls to improve assurance at scale
• What works and what does not when aligning GRC with fast-moving engineering teams

By the end of this session, you will walk away with:

• A clear roadmap for modernizing GRC in the AI era
• Practical approaches to assessing and managing AI-related risks
• Guidance on building adaptive controls that evolve with technology
• Strategies for strengthening trust, accountability, and decision-making in AI-enabled systems

This session is ideal for professionals involved in governance, risk, compliance, security, data, engineering, or technology leadership roles who are navigating AI adoption.