AI security fundamentals

  • Learning Path
  • 3 Modules

At a glance

Want to learn more about AI security? This learning path helps you understand the basic concepts of AI security, the types of security controls that apply to AI systems, and the security testing procedures that you can implement in AI systems to increase the security posture of AI environments.

Prerequisites

Familiarity basic Artificial Intelligence and security concepts

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Modules in this learning path

Fundamentals of AI security

Learn how AI security differs from traditional cybersecurity, explore the three-layer AI architecture model, and examine AI-specific attack techniques including jailbreaking, prompt injection, model manipulation, data exfiltration, and overreliance.

AI security controls

Learn about the security controls you can implement to protect AI systems from threats, including supply chain security, content filtering, data security, metaprompts, grounding, application security, and ongoing monitoring.

Introduction to AI security testing

Learn about AI red teaming, the three categories of AI security testing, and how to plan and execute red teaming exercises for LLMs and AI-enabled applications.

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