This course on "Recognising AI-Powered Deepfakes and Phishing Attacks" provides essential insights into the evolving landscape of digital threats. Participants will learn to identify and understand deepfake technology, its implications for cybersecurity, and the tactics used in phishing attacks.

Through practical examples and interactive scenarios, the course equips learners with the knowledge and skills to recognise these threats effectively. By implementing best practices for personal security and fostering a proactive security culture, you will be empowered to protect yourself and your organisation in an increasingly complex digital environment.

Educational Aim

• To develop an understanding of AI technologies and their implications in the creation of deepfakes and phishing attacks.

• To cultivate the ability to critically analyse and evaluate the risks associated with deepfake technology and its use in cybersecurity threats.

• To enhance skills in identifying and recognising deepfake content and phishing attempts, enabling effective responses to these threats.

• To foster an understanding of best practices for personal and organisational cybersecurity, promoting a proactive security culture.

• To provide opportunities for participants to engage with real-world scenarios, enhancing their problem-solving abilities and critical thinking skills in the context of digital security.

• To encourage the development of ethical awareness regarding the use of AI technologies and the importance of responsible digital citizenship.

Learning outcomes

A1. Knowledge and Understanding: Demonstrate a thorough understanding of AI, deepfakes, and phishing attacks, including their definitions, mechanisms, and implications for cybersecurity.

A2. Identification Skills: Recognise and analyse the characteristics of deepfake media and phishing attempts, applying critical judgement to assess their authenticity.

A3. Security Practices: Understand and implement best practices for personal cybersecurity, including password management, two-factor authentication, and software updates.

A4. Analytical Skills: Evaluate and synthesise information from various sources to identify potential threats and formulate effective responses.

A5. Problem-Solving: Apply critical thinking to develop strategies for mitigating risks associated with deepfakes and phishing attacks in real-world scenarios.

A6. Practical Application: Engage in interactive exercises and scenarios to reinforce learning and demonstrate the ability to apply knowledge in practical contexts.

By achieving these outcomes, participants will be better equipped to navigate the challenges posed by AI-powered threats in today's digital landscape.

Course Structure

Module 1: Introduction to AI and Deepfakes

• Overview of AI and its evolution
• Understanding deepfakes and their applications

Module 2: The Threat of Deepfake Technology

• Deepfakes in cybersecurity
• Recognising deepfake content

Module 3: Phishing Attacks Explained

• Definition and types of phishing attacks
• The role of deepfakes in enhancing phishing attacks

Module 4: Identifying Phishing Attempts

• Signs of phishing emails
• Recognising deepfake media in phishing

Module 5: Best Practices for Prevention

• Personal security measures
• Reporting suspicious activity

Module 6: Ethical Considerations

• Bias and Fairness
• Privacy

Module 7: Conclusion and Resources

• Summary of key takeaways
• Additional resources for further learning
• Course feedback and certification