Technology and Cyber Risks in AI/ML (SF)
About This Course
This 2-day course offers a practical and in-depth exploration of technology and cyber risks specific to Artificial Intelligence (AI) and Machine Learning (ML) systems across various industries. Participants will gain the skills to identify common threats and vulnerabilities unique to AI/ML, evaluate associated risks, and implement targeted mitigation strategies that align with organizational goals and risk tolerance. By the end of the course, learners will be equipped to design and apply effective cybersecurity and risk management frameworks tailored to the AI/ML lifecycle.
Participants will be able to assess cybersecurity risks unique to AI and Machine Learning systems, develop targeted risk treatment plans that align with business objectives and evolving regulatory requirements, and effectively apply data privacy, ethical, and compliance standards throughout the AI/ML lifecycle.
What You'll Learn
LO1: Identify security lapses in real-world AI system scenarios to implementation appropriate procedures and security control in addressing common threats and vulnerabilities.
LO2: Evaluate AI/ML security technologies, tools and assessment techniques to close security gaps and align with organisational security standards and policies.
LO3: Assess applications and infrastructure components for adherence to organisational security standards, baselines and operational procedures.
LO4: Assess the adequacy of information security controls by evaluating their design and operating effectiveness against organisational security standards using appropriate techniques.
LO5: Implement security controls, guidelines and protocols in line with corporate security policies and frameworks to achieve stakeholder understanding and compliance.
LO6: Develop specific security action plans for different business units that apply corporate security policies, standards, guidelines and implementation considerations.
LO7: Propose revised or new security controls and implementation procedures that improve security effectiveness after reviewing the existing guideline.
Entry Requirements
Professional Qualification and Other Diploma
Candidates who do not meet the above requirements will be assessed on case by case basis.