On demand webinars

How good governance enables AI innovation

Learn how to build a governance framework that enables safe and secure AI innovation.

Description

Generative AI and ML promise to change the way all business functions operate, including GRC. While the potential for productivity gains is clear, the risks associated with their use and ways to address them are still being understood. As technology advances, risk management grows in importance, and requirements continue to increase in number and visibility. In order to encourage the secure use of AI, we need to develop new ways of governing AI risk.

This session will explore the evolution of traditional governance processes like policies, training and awareness, third-party risk, data governance, access control, and monitoring. We’ll also explore several novel and emerging techniques for mitigating AI risks, such as enforcing security-centric prompts and model guidance, and the opportunity for prompt libraries and enterprise controls that lead to secure AI use within the enterprise.

Let’s explore the future of this trend and the guardrails to help your organization navigate this next major evolution of technology.

About the speakers

Richard Marcus is the VP of Information Security at AuditBoard, where he leads product, infrastructure, and corporate IT security functions as well as AuditBoard’s own internal risk and compliance initiatives. In this capacity, he has become an AuditBoard product power user, leveraging the platform’s robust feature set to help achieve SOC 2, GDPR, ISO 27001 compliance, and many other GRC initiatives. In his spare time, he enjoys exchanging insights with his information security leader peers in the AuditBoard Community and participating in the AuditBoard product development process. Prior to joining AuditBoard, Richard led global GRC at Verizon Media and Security Operations at EdgeCast Networks.

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