Defending AI
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The Building Blocks of AI
Learn how AI, ML, neural networks, and LLMs actually work, from the ground up.
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Detecting Adversarial Attacks
Learn how to identify and analyse adversarial attacks.
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Defending Adversarial Attacks
Learn defence mechanisms to harden machine learning models.
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AI Forensics
Explore AI DFIR and learn how it boosts your investigation capabilities.
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ContAInment
Can you help contain the ransomware threat with the help of AI?
Topic Rewind Recap
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Learn how to detect and defend against adversarial attacks and use AI to supercharge investigations and enhance blue team operations.
This module explores how adversaries exploit machine learning models using adversarial inputs, data poisoning, and evasion techniques that bypass traditional defenses. You’ll start by identifying these attacks and learning how they impact model integrity. Then, you’ll implement defensive strategies like adversarial training and input validation to harden your systems. Finally, you’ll leverage AI itself to assist in blue team operations by automating triage, detecting anomalies, and accelerating forensic investigations. By the end, you’ll know how to secure ML pipelines and weaponise AI for defensive advantage.
What are modules?
A learning pathway is made up of modules, and a module is made of bite-sized rooms (think of a room like a mini security lab).
