Secure AI with Privacy and Access Controls

About this course

Artificial Intelligence brings transformative benefits but also unprecedented privacy, security, and compliance risks. Recent incidents (i.e. Samsung, McDonald’s, OpenAI, Slack) and regulatory actions show what happens when these risks are ignored. This  course teaches learners to secure AI systems by implementing privacy-by-design, least privilege, DLP, and dynamic access controls and to map these controls to global regulations. Through case studies, policy drafting, and hands-on labs, learners develop the skills to assess risks, deploy controls, and respond to incidents in real AI environments. No advanced programming or AI expertise is required. All you need is basic IT/security knowledge.

What you will learn

• Analyze real-world AI security, privacy, and access control risks to understand how these manifest in their own organizations.
• Design technical controls and governance frameworks to secure AI systems, guided by free tools and industry guidelines.
• Assess privacy laws' impact on AI, draft compliant policies, and tackle compliance challenges.