AI Governance & Security
Essential for any organization deploying AI tools at scale. This course covers the policies, practices, and frameworks needed to use AI responsibly and securely. Ideal for leadership, compliance, IT, and anyone involved in AI adoption decisions. Participants leave with a draft AI governance framework tailored to their organization.
- AI Risk Landscape & Data Privacy
- Building Your AI Policy & Framework
Lessons
2 lessonsLesson 1: AI Risk Landscape & Data Privacy
Understand the risks: data leakage, hallucinations, bias, intellectual property concerns, and regulatory requirements (GDPR, AI Act). Learn how different AI providers handle your data, what ‘enterprise-grade’ actually means, and how to evaluate AI tools through a security lens. Includes case studies of AI governance done well and poorly.
Lesson 2: Building Your AI Policy & Framework
Workshop session where participants draft an AI acceptable use policy and governance framework for their organization. Covers: defining approved tools and use cases, data classification guidelines, review and approval processes, incident response procedures, and monitoring practices. Ends with a peer review of draft policies.
