The Wave of Change to Help Brands Tackle New Age AI Adoption

AI Governance at Scale

AI adoption is moving faster than most governance programs were designed to manage. As teams experiment with AI tools, embedded AI features, and third-party platforms, organizations face new blind spots around visibility, data exposure, policy enforcement, and accountability. The challenge is no longer just whether AI is being used, but whether security, compliance, legal, and risk teams can keep pace with how quickly that usage spreads.

Why Attend

This webinar addresses the critical gap between AI adoption velocity and governance capabilities, providing practical guidance for security, compliance, legal, and risk teams struggling to maintain oversight as AI usage expands across organizations through experimentation, embedded features, and third-party platforms.

Key Learning Areas

Tune in to learn about:

• AI Adoption Velocity: Why AI adoption is moving faster than traditional governance frameworks and what this means for organizational risk exposure

• Exposure Points: Where organizations are most exposed across visibility, data security, policy enforcement, and third-party AI risk categories

• Scalable Governance Models: What a scalable AI governance model looks like that can keep pace with rapid adoption while maintaining accountability

What to Expect

This webinar delivers practical frameworks for addressing AI governance challenges created by adoption speeds outpacing traditional oversight capabilities. Through examination of visibility gaps, data exposure risks, policy enforcement challenges, and third-party AI risks, participants gain actionable approaches for building scalable governance models that enable security, compliance, legal, and risk teams to maintain effective oversight despite accelerating AI experimentation and platform integration.