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AI × Cybersecurity: The Crossover (Cross-Curricular)

Where machine learning meets hacking and defence: AI-powered phishing, deepfake fraud, adversarial attacks, prompt injection, AI-driven threat detection and the ethics and law around it all.

🟡 Intermediate6 lessons
  1. Lesson 1

    Lesson 1 — Why AI and Cybersecurity Collide

    AI is now both the sharpest weapon attackers hold and the fastest defence teams deploy. Map the modern battlefield.

    80
  2. Lesson 2

    Lesson 2 — AI-Powered Phishing and Deepfake Fraud

    Generated text, cloned voices and video deepfakes have broken the old 'spot the spelling mistake' advice. Learn what still works.

    100
  3. Lesson 3

    Lesson 3 — Attacking the Model Itself

    Data poisoning, adversarial examples, model theft and evasion — how you hack an AI rather than a server.

    130
  4. Lesson 4

    Lesson 4 — Prompt Injection and Securing LLM Apps

    When a chatbot reads untrusted text, that text can give it orders. Learn direct and indirect prompt injection — and how to contain it.

    140
  5. Lesson 5

    Lesson 5 — AI on the Defence: Inside a Modern SOC

    Triage 10,000 alerts with a model, understand false positives, and learn why the human analyst never disappears.

    120
  6. Lesson 6

    Lesson 6 — Ethics, Law and the AI Arms Race

    Bias in security AI, surveillance limits, GDPR and the AI Act, and where the line sits between research and crime.

    130