Live Webinar

AI adoption won’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.

What does effective AI discussion looks like?

We'll explore how team decides what needs assessments, which evidence they rely on and when to revisit previous conclusions.

Through real examples, speakers will share approaches they've tried, lessons from assessments that missed important risks and what AI risk programs will need next.

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

Featuring Leaders from

Periodic Reviews

Where do traditional assessments still work?

Continuous Assessment

What does continuous risk assessment look like?

Reliable Automation

Which parts of the process can be automated?

What we’ll discuss

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.

Meet the speakers

Bhavya Gupta

Information Security Officer, Stanford University

Bhavya brings experience in AI security and governance and will share her perspective on assessing AI use, setting priorities, and keeping pace with new capabilities.