Secure AI with Privacy and Access Controls

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

• Analyze AI security, privacy, and access control risks
• Design technical controls and governance frameworks
• Assess privacy law impact and develop compliant policies

• Basic familiarity with security and AI terminology
• Readiness to engage in practical exercises