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root@sparrow:~/writeups$ cat ai-ml-security-threats.md
// AI Security

AI/ML Security Threats

14 Aug 2025 · 10 min read · user access
This room walks through the intersection of AI/ML and cybersecurity. It is a conceptual walkthrough: it first lays the foundations of Artificial Intelligence, Machine Learning, neural networks and Transformer-based LLMs; it then studies the threats specific to AI systems (prompt injection, data poisoning, model theft) and how attacks themselves are supercharged by AI (malware, deepfakes, phishing); and it closes by showing how a defender can lean on an AI assistant to analyze logs, detect phishing and generate regex.
PlatformTryHackMe
CategoryAI Security
DifficultyEasy
RoomAI/ML Security Threats

Task 1 — Introduction

AI and ML are not just buzzwords: they are reshaping how both attackers and defenders operate. For defenders they bring efficiency and accuracy; for attackers they enable the automation of attacks at scale. This task only sets the scope of the room and requires no answer.

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