Lilly Tech Systems
AI Red Teaming & Blue Teaming
Master the art of offensive AI testing and defensive AI monitoring. Learn to plan and execute red team operations against AI systems, build blue team detection capabilities, implement purple teaming for continuous improvement, and leverage automated red teaming tools to scale your security testing efforts.
What You'll Learn
This course covers both sides of AI security — attacking and defending AI systems — and how to bring them together for maximum effectiveness.
Red Team Operations
Plan and execute offensive operations targeting AI systems, including adversarial attacks, jailbreaking, and model exploitation.
Blue Team Defense
Build detection and monitoring capabilities for AI-specific attacks, anomaly detection, and incident response.
Purple Teaming
Combine red and blue team efforts for collaborative security improvement, knowledge sharing, and continuous hardening.
Automated Red Teaming
Scale red teaming with automated tools and frameworks for continuous AI security assessment.
Course Lessons
Follow the lessons in order to build both offensive and defensive AI security skills.
1. Introduction
Understand the concepts of red teaming and blue teaming applied to AI systems, and why both perspectives are essential.
2. Red Team Operations
Plan and execute offensive AI operations: adversarial campaigns, LLM jailbreaking, model exploitation, and social engineering.
3. Blue Team Defense
Build AI-specific detection capabilities: anomaly monitoring, adversarial input detection, model drift alerting, and SIEM integration.
4. Purple Teaming
Combine red and blue team operations for collaborative AI security improvement with shared objectives and continuous feedback.
5. Tools & Automation
Master automated red teaming tools: Garak, PyRIT, Counterfit, ART, and custom automation frameworks for continuous AI testing.
6. Best Practices
Enterprise AI red/blue team programs, metrics, reporting, maturity models, and building a sustainable AI security practice.
Prerequisites
What you need before starting this course.
- Understanding of machine learning fundamentals
- Familiarity with cybersecurity concepts (red/blue teaming)
- Basic Python programming skills
- Recommended: Complete the AI Threat Modeling and AI Pentesting courses first