Objectives
- Identify security, safety and privacy vulnerabilities of AI systems, including AI-specific cybersecurity risks, and recommend appropriate risk mitigation actions and recognise limitations, if any.- Evaluate the appropriateness of AI for cybersecurity defence and identify their shortcomings, if any.- Describe various AI-aided attack techniques and recommend appropriate mitigations or compensating controls.- Keep abreast of new developments in AI/ML security in order to assess the risks, if any, they pose to their organisation.
Who Should Attend
- Formulate security policies, strategies or programmes or any related action plan to address the risks posed by using AI-based systems in their business processes and/or products.- Understand the implications of AI-powered attack techniques to their cyber defences.- Assess the appropriateness of AI-aided cyber defence solutions and their shortcomings, if any.
Entry Requirements
- Foundational cybersecurity and IT knowledge- Understanding of a basic risk management methodology- Foundational machine learning knowledge- References to pre-course supplementary online courses and readings will be provided to confirmed participants, and participants are expected to do prior readings before attending the course
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Please note that the mode of delivery is subject to change in light of the COVID-19 situation.
Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.
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Last updated: 04 June 2024
