LLM Red Teaming
Difficulty
As the popularity of LLMs grows, it becomes increasingly important to understand how to test and exploit their vulnerabilities. Learners will explore vulnerabilities in LLMs, security risks, and how to ethically work with these AI models from an offensive security perspective.
6
modules
30
hours of content
13
real-world skills
Learning Objectives
- Explain the core concepts behind LLMs and how they function
- Identify key security and responsible AI risks in LLM systems
- Enumerate LLM systems to understand their architecture and potential weaknesses
- Demonstrate exploitation of LLM-specific vulnerabilities (prompt injection, jailbreaking)
- Identify and mitigate risks from supply chain attacks and unsafe output handling
- Apply ethical, structured offensive security techniques to test LLM security and safety
Who is it for?
- Network penetration testers seeking to expand their expertise into LLMs
- Red Teamers who need to expand their areas of expertise to include LLMs
- Web application testers responsible for AI tools
- AI Security researchers
- Security analysts responsible for AI applications
Showcase your skills with an OffSec Learning Badge
Proficiency
Proven knowledge of concepts and practical methodologies in LLM Red Teaming
Industry recognition
A valuable OffSec credential demonstrating your commitment to cybersecurity
Hands-on skill
Demonstrated ability to analyze and exploit unbounded consumption vulnerabilities
Flexible pricing for teams of any size
Scalable options to fit your team's training needs
LLM Red Teaming FAQ
Red Teaming Learning Paths
LLM Red Teaming
Red Teaming
