Security Management

T4-2B. Governance of AI and Cybersecurity Risk

Tuesday, June 11, 2024 1:00 PM - 4:00 PM

Description

Governance of AI and cybersecurity are two of the top concerns of board directors in public companies. This session prepares security leaders to develop strategies and programs that help their organizations maximize governance of AI and cybersecurity to support digital transformation and a changing regulatory environment.

Learner Objectives

After this session, the learner will understand and be able to apply the following: 1. Best practices for corporate governance that produce success with the evaluation, implementation, and management of effective cyber and AI practices. 2. Risks and rewards of integrating AI into corporate business processes. Based on the NIST AI RMF, this objective focuses on various use cases that support a discussion about the measuring AI risk and maximizing AI rewards. 3. Rather than focusing on compliance and regulation, the presentation focuses on cybersecurity program management as a component of enterprise risk management (ERM). 4. The activities highlighted in each lesson are valuable in isolation; however, a strategic approach to integrating all activities in an integrated, enterprise-wide strategic plan maximizes the value of everything discussed. The final objective highlights strategic planning, execution, and performance measurement to ensure value is achieved from the lessons learned.