Generative AI Cybersecurity and Privacy for Leaders

As organizations rapidly adopt Generative AI, leaders must navigate unprecedented cybersecurity risks, data privacy concerns, and governance challenges. Strategic decision-makers need a clear framework to leverage these technologies safely without compromising corporate data or regulatory compliance. This course equips leaders and managers with the foundational knowledge to establish secure Generative AI practices. You will learn how to identify critical vulnerabilities, safeguard proprietary information, and design proactive organizational policies that align with modern security standards. What you'll learn: - Understand the foundational security risks unique to Generative AI, including data leakage and prompt injection. - Establish robust data governance policies to protect intellectual property and sensitive customer information. - Mitigate the risks of shadow AI by implementing clear procurement and usage guidelines across your organization. - Apply zero-trust principles to AI integrations and third-party large language model APIs. - Navigate emerging AI privacy regulations and compliance frameworks to ensure ethical and legal alignment. The course starts with essential AI terminology and core security definitions before guiding you through strategic risk assessments and policy creation. You will explore practical scenarios and governance strategies designed for non-technical leaders. Designed specifically for business leaders, managers, and executives, this text-based course requires no prior technical cybersecurity or programming experience. Prepare your organization for the future of secure AI adoption today.