Introduction to AI Security (SF)
About This Course
This 2-day course provides a comprehensive overview of cybersecurity fundamentals and risk management tailored to AI applications across industries. Participants will learn to identify common AI-related threats and vulnerabilities, assess risks, and develop effective mitigation strategies aligned with business requirements and risk appetite. The course also covers conducting data privacy impact assessments, ensuring data confidentiality and integrity, and navigating relevant AI regulations and ethical considerations. By the end, learners will be equipped to design and implement robust cybersecurity and risk management frameworks for AI systems.
Participants will be able to assess AI-specific cybersecurity risks, develop risk treatment plans aligned with business and regulatory needs, and apply data privacy, ethical, and compliance standards effectively.
What You'll Learn
- LO1: Apply AI and cybersecurity concepts to identify security risk, threat, vulnerabilities and impact on organisation’s cyber platform.
- LO2: Develop risk assessment techniques to identify security gaps on AI systems use in organisation various business functions.
- LO3: Design a cybersecurity assessment plan to protect an organisation’s use of data and AI systems from potential risks, in alignment with its business needs.
- LO4: Implement risk treatment plan on AI systems that is aligned with governance and compliance requirements.
o Learning Unit:
o LU1: AI and Cybersecurity Fundamentals
T1: AI and cybersecurity basics including common threats and vulnerabilities
o LU2: Risk assessment approaches and methodologies
T2: Risk identification techniques
T3: Risk assessment approaches and methodologies
o LU3: Design risk assessment approaches and methodologies
T4: Analyse data confidentiality and integrity requirements of applications
o LU4: Risk Treatment, Governance, and Compliance
T5: Building cyber risk assessment techniques according to business requirements
T6: Identify and implement treatment options based on risk appetite
Entry Requirements
o Applicants should meet one of the following:
o Possess a diploma or higher qualification in information technology, computer science, data analytics, or a related discipline; OR
o Have at least 1 year of relevant work experience in IT operations, risk management, compliance, or business functions involving digital systems