AI and Cybersecurity

Key Takeaways

Upon completion of this course, the learner will be able to work in partnership with an AI specialist, if the learner is not already one himself/herself, to:

1. 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.
2. Evaluate the appropriateness of AI for cybersecurity defence and identify their shortcomings, if any.
3. Describe various AI-aided attack techniques and recommend appropriate mitigations or compensating controls.
4. 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

This course is intended for cybersecurity and cyber risk professionals who, together with AI specialists, need to:

• 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.

Digital professionals who incorporate AI in their systems in partnership with AI specialists and who satisfy course prerequisites are also welcome.

Pre-requisites

• 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

Important note

• Participants are required to use your own internet-enabled laptop with these recommended configuration; Intel Core i5 (sixth generation or newer) or equivalent, Microsoft Windows 10 Professional, 8GB (or higher) RAM. The recommended web browser is Google Chrome to access courseware on the ISS learning management system
• There will be no printed course materials issued
• A set of course materials in PDF format will also be provided to all confirmed participants

What Will Be Covered

• Overview
• Threat Modelling AI systems
• Exploiting vulnerabilities in machine-learning-based AI systems
• Engineering risk mitigations for ML-based AI systems
• Harnessing AI for Cybersecurity Defence
• AI-powered Attacks and corresponding mitigations
  
  
  

Fees & Subsidies

1. All fees and subsidies are valid from January 2024, unless otherwise advised.
2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
3. From 1st January 2024, the GST will be increased to 9%.

Certificate

Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

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NUS-ISS and Learner’s Commitment and Responsibilities

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WIFI Access
WIFI access will be made available to participants.

Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.