Expected learning outcomes
Course Outcomes
- Understand how AI is used in cybersecurity, threat detection and security monitoring.
- Identify AI-enabled cyber threats, including deepfakes, phishing and social engineering.
- Use AI-supported tools to strengthen incident response, reporting and security awareness.
- Improve data protection, access control and responsible AI use in digital systems.
- Develop practical cybersecurity controls for safe AI adoption in organizations.
Course modules and outline
Course Outline
Module 1: AI in cybersecurity and information security management
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 2: AI-supported threat detection and monitoring
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 3: AI-enabled attacks, deepfakes and phishing risks
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 4: Incident response, reporting and investigation support
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 5: Data protection and access control
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 6: Security awareness and staff training with AI
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 7: Risk assessment and mitigation planning
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 8: Cybersecurity policies and documentation
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 9: Vendor and third-party AI security risks
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 10: Developing AI cybersecurity governance controls
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Who should attend?
Target Audience
ICT managers, cybersecurity officers, system administrators, information security managers, risk officers, auditors, compliance teams, digital transformation professionals, data protection officers, IT support teams and managers responsible for information systems.
Key course benefits
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