🔐 AI in Data Security and Privacy

AI in Data Security and Privacy provides a practical, non technical introduction to how artificial intelligence can support information management and create new privacy and security risks. The course explores data classification, privacy preserving techniques, lifecycle management, permissions, data flow mapping and model privacy, using globally relevant organisational examples.

You will learn how AI can help identify sensitive information, review access, trace data movement and support retention decisions. You will also examine risks involving training data, prompts, retrieved documents, generated outputs and AI agents, with clear explanations of what safeguards can achieve and where their limitations remain.

The course emphasises practical controls, reliable evidence and organisational accountability. It concludes by exploring how governance practices and professional responsibilities may evolve as AI becomes more capable, helping learners assess new tools and support responsible deployment.