AI Security, Privacy & Responsible AI

By completing this course, you will be able to: 

• Identify emerging security threats targeting AI systems 

• Recognize risks such as prompt injection, adversarial attacks, and data poisoning 

• Apply security practices across AI models, APIs, data, and inference environments 

• Incorporate privacy and responsible AI principles into AI initiatives 

• Evaluate the security and governance practices of third-party AI providers 

• AI-specific threat landscape: adversarial attacks, prompt injection, data poisoning 

• Securing AI pipelines: models, APIs, training data, and inference environments 

• Privacy by design for AI systems processing personal data — PIA methodology 

• Responsible AI principles in practice: fairness, transparency, accountability, human oversight 

• Third-party AI vendor security assessment and procurement governance 

3 days

Course Completion Certificate by Network Binary

• Cybersecurity professionals 

• Security engineers and architects 

• Privacy and data protection professionals 

• IT and technology professionals 

• Risk and compliance teams 

• Professionals responsible for securing AI environments 

• Basic understanding of cybersecurity or information security 

• Familiarity with security principles and IT environments 

• Basic knowledge of AI concepts is beneficial