Programme outline
Learning objectives
By the end of the course, participants will be able to:
- Identify Artificial Intelligence (AI)-related vulnerabilities and integrate mitigation strategies into the organisation’s security policies.
- Evaluate and apply AI-powered threat detection tools to strengthen security posture.
- Oversee response protocols that leverage AI to accelerate recovery and ensure business continuity.
- Oversee Singapore Personal Data Protection Act (PDPA), Monetary Authority of Singapore Technology Risk Management (MAS TRM), EU General Data Protection Regulation (GDPR), Artificial Intelligence (AI) Act), and regional regulations to cybersecurity and AI strategies.
- Recommend AI and cybersecurity investments that enhance operational resilience and competitive advantage.
Day 1
- Session 1: AI & Cybersecurity Landscape + Case Study 1
- Session 2: AI as Attack Vector + Role of State Actors / Organised Crime + Case Study 2
- Session 3: AI as Attack Vector: Preventing Harm + Personal Security + Case Study 3
- Session 4: Dark Web
- Session 5: Legal Considerations of AI and Cybersecurity
Day 2
- Session 6: AI & Cybersec: Frameworks & Standards + Case Study 4
- Session 7: Stakeholder responsibilities + Shared Responsibility + Case Study 5
- Session 8: Apps & Tools to Use + Case Study 6
- Session 9: Setting Policies: AI & Agentic AI / AI-enabled Cybersecurity
- Assessment
Assessment
- Online Multiple-Choice Question (MCQ) test
- Class participation – case study discussions