AI Security Threats.
Learn what can go wrong in an AI system, how to recognise the problem, and where defenses belong.
Read the room notesTask by task
- 01
Introduction
Start thinking about AI security: what needs protection, what can go wrong, and how to ask useful questions.
- 02
Vulnerabilities in AI Models
Understand prompt injection, poisoned data, model theft, privacy leakage, and drift through simple examples and practical defenses.
- 03
AI-Enhanced Attacks
See how attackers use AI for malicious software, convincing messages, and fake voices, then practise checking the request behind the disguise.
- 04
Defensive AI
Learn how AI can help investigate security events, read logs, and summarize evidence while people check the facts and control important actions.
- 05
Securing AI
Protect an AI system with clear permissions, careful data handling, testing, monitoring, and a plan for mistakes.
- 06
Practical
The ten AI Security Analyst Orientation questions, in order, with answers and simple-English explanations.
- 07
Conclusion
Connect AI weaknesses, AI-assisted attacks, defensive uses, and secure design with a plain-English recap and revision questions.
Learning made visible.
This collection covers all eight tasks in The Building Blocks of AI and all seven tasks in AI Security Threats. Each note brings together plain-English explanations, examples, and sources.
First documented on . Expanded on .
How this notebook grows
New topics bring more explanations, examples, diagrams, and sources to the notebook.
Original learning notes by PromptExploit, with links to TryHackMe and additional references. This independent portfolio is not an official TryHackMe certificate.
Room notes expanded · 23 September 2026
Added AI-Enhanced Attacks, Defensive AI, Securing AI, Practical, and Conclusion. The notebook now contains fifteen task notes, including the ten supplied practical questions with explained answers and three new visual guides.
First study entry · 18 September 2026
Eight task notes for The Building Blocks of AI. Two task notes for AI Security Threats. Ten notes published.

