WAIG Foundation
WAIG Academy - Learning Platform

AI Security & Adversarial Assurance

Offensive and defensive security for AI systems

Dedicated AI security program covering adversarial ML, LLM attack surfaces, supply chain risk, and continuous security testing — directly linked to WAIG AI Testing Lab methodologies.

Core capability building for WAIG AI Testing Lab delivery and public-interest security research.

Course introduction

Plays a spoken introduction for AI Security & Adversarial Assurance using your browser voice (course-specific script).

Infographic

AI Security & Adversarial Assurance infographic

Lessons are locked until you enroll with a verified work email and activate your WAIG Academy - Learning Platform account.

Module 1: AI threat landscape and attack taxonomy

  • AI threat landscape and attack taxonomy45m

Module 2: Adversarial examples, model extraction, and poisoning

  • Adversarial examples, model extraction, and poisoning50m

Module 3: Prompt injection, jailbreaks, and indirect injection in agents

  • Prompt injection, jailbreaks, and indirect injection in agents55m

Module 4: Secrets, PII, and training-data leakage prevention

  • Secrets, PII, and training-data leakage prevention60m

Module 5: AI supply chain — models, datasets, plugins, and third-party APIs

  • AI supply chain: models, datasets, plugins, and third-party APIs45m

Module 6: Security assurance reporting for boards and regulators

  • Security assurance reporting for boards and regulators50m

Module 7: Integration with SOC/SIEM and incident response playbooks

  • Integration with SOC/SIEM and incident response playbooks55m