Learn the core concepts of AI and ML, and how they apply to the cybersecurity landscape.

This module introduces learners to the foundational concepts of artificial intelligence and machine learning, establishing the mental models needed before diving into security topics. Rooms cover AI/ML threat categories, how models consume and process data, prompt engineering basics, and how AI can be used to augment existing roles using digital forensics as an example with a companion challenge to close off.

The Building Blocks of AI

Learn how AI, ML, neural networks, and LLMs actually work, from the ground up.

AI Security Threats

Explore the vulnerabilities AI introduces, how attackers exploit it, and how defenders fight back.

AI Models & Data

Explore how data is fundamental to AI security, and the models which power it.

Prompt Engineering

Learn how LLMs process text and craft effective prompts for security and adversarial testing.

AI Forensics

Explore AI DFIR and learn how it boosts your investigation capabilities.

Lock in what you learned with a recap. Earn points and keep your streak.

Next steps

Secure AI Systems

Understand how AI systems are architected and how to assess their security posture.

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).

Hierarchical diagram showing how learning pathways contain modules, which contain individual rooms.

AI Fundamentals

The Building Blocks of AI

AI Security Threats

AI Models & Data

Prompt Engineering

AI Forensics

Topic Rewind Recap