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AI Adoption wont't wait. How does risk keep up?

How enterprise GRC leaders assess changing AI risks and what they’re learning at scale

Join Bhavya Gupta, Christopher Monyok and Victor Cheng for a conversation on choosing which AI risks to address, reviewing new AI resources, and deciding what to do when problems arise.

AI agents move faster than point-in-time assessments. Here’s how risk teams are keeping up.

Move with AI

Keep governance from becoming the bottleneck.

Make better calls

Balance speed, risk, and business priorities.

Build confidence

Give teams room to adopt AI with clear guardrails.

What you will Learn

Deciding what to assess

How teams assess vendors, AI capabilities, and individual use cases without duplicating work.

Finding the risks that matter

How business context changes exposure to inaccurate outputs, sensitive data use, bias, and operational disruption.

Getting useful evidence

What vendor documentation can establish, where it falls short, and what to request next.

Keeping assessments current

How teams combine periodic reviews, change-triggered reassessments, and ongoing monitoring.

Scaling the work

What teams automate, how they validate the results, and where human judgment adds the most value.

Preparing for what comes next

How more autonomous AI could change assessment methods, evidence requirements, and review capacity.