AI for Cybersecurity and Privacy Leaders: Strategy, Execution, and Impact— March 2026

March 2, 4, and 9, 2026
Online

Event Description

As AI transforms cybersecurity and privacy landscapes, leaders must grasp essential AI concepts to make informed decisions. This three-session series explains what AI is, how it works, and its implications for security and privacy. Participants will learn the difference between narrow and general AI, explore technologies like machine learning and generative AI, and see how these apply to security contexts. The series covers real-world examples, including AI use in warehouse automation, contract intelligence, predictive maintenance, and loss prevention—all examined through a security lens. Key topics include ethical considerations around bias and transparency, privacy implications of AI systems, and current regulatory updates, including the EU AI Act and U.S. compliance requirements. Leaders will identify potential AI applications in their organizations and consider governance implications. At the conclusion of the sessions, participants will have a working knowledge of AI terminology and capabilities to inform strategic decision-making in security and privacy contexts.

Learning Outcomes:

• Distinguish between narrow AI, general AI, and generative AI in cybersecurity contexts.
• Identify AI-powered threats, including deepfakes and automated attacks.
• Evaluate AI implementations through security-focused case studies.
• Apply ethical principles to AI deployments in security programs.
• Navigate AI regulations, including the EU AI Act and U.S. compliance requirements.
• Assess AI use cases for threat detection and compliance monitoring.
• Consider governance approaches for responsible AI adoption.