Comprehensive course analysis
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.
About the course
“AI is the new electricity” proclaims Andrew Ng, co-founder of Google Brain. Just as we need to know how to safely harness electricity, we also need to know how to securely employ Artificial Intelligence (AI) to power our businesses. In some scenarios, the security of AI systems can impact the safety and well-being of humans. Hence, it is imperative that AI systems, including the models and algorithms, be protected against cyber-attacks. On the flip side, AI techniques can also be misused by cyber-adversaries and so we need to understand how to counter them.
Cybersecurity professionals, in partnership with AI specialists, would need to enhance their organisations’ cybersecurity strategy and frameworks to take into account the following cybersecurity implications of AI:
- Security, safety and privacy of AI systems deployed in various business use cases.
- Strengths and shortcomings of employing AI for cybersecurity defence.
- AI-aided attack techniques and corresponding mitigations / compensating controls.
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:
- 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.
What Will Be Covered
This course will cover:
- 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
Angela teaches and provides consulting services in the areas of information security, IT risk management and project management. She is a lead instructor for (ISC)2 CISSP CBK Review Seminar and the course manager for information security courses and selected project management courses at ISS. An...
Tian Jing currently lectures in the Analytics and Intelligent Systems Practice in the areas of artificial intelligence, data analytics, and machine learning. He received his Ph.D. degree from School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Prior to j...
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