Overview What You Will Learn Curriculum Instructor

Course Overview

Unlock the intricacies of securing cutting-edge AI models in this comprehensive course on pentesting Large Language Models (LLMs). Explore the vulnerabilities unique to LLMs and learn practical strategies to safeguard these transformative technologies, addressing challenges in data, model, and infrastructure security. Designed for AI enthusiasts, security professionals, and developers, this course bridges the gap between advanced AI technologies and robust cybersecurity practices. 

This course begins with an introduction to the foundational concepts of Large Language Models, including their architecture, applications, and security challenges. It delves into critical aspects of LLM security, such as protecting data, model integrity, and infrastructure, while addressing ethical concerns. Next, you’ll explore offensive strategies, such as the LLM OWASP Top 10, API exploitation, and prompt injection techniques. Finally, the course shifts to defensive strategies, covering input sanitization, robust model guardrails, and filtering techniques to mitigate vulnerabilities effectively. 

By completing this course, you’ll gain a comprehensive understanding of LLM pentesting, equipping you to secure AI systems against emerging threats and ensuring safe, responsible AI deployment. 

What You Will Learn

  • Definition and significance of LLMs in modern AI.
  • Overview of LLM architecture and components.
  • Identifying security risks associated with LLMs.
  • Importance of data security, model security, and infrastructure security.
  • Comprehensive analysis of the OWASP Top 10 vulnerabilities for LLMs.
  • Techniques for prompt injection attacks and their implications.
  • Identifying and exploiting API vulnerabilities in LLMs.
  • Understanding excessive agency exploitation in LLM systems.
  • Recognizing and addressing insecure output handling in AI models.
  • Practical demonstrations of LLM hacking methods.
  • Interactive exercises including a Random LLM Hacking Game for applied learning.

Program Curriculum

Introduction Chapter 1 Quiz

IntroductionLLM OWASP Top 10Indirect Prompt InjectionExploiting Vulnerabilities in LLM APIsExploiting LLM APIs with Excessive AgencyExploiting Insecure Output Handling in LLMsChapter 3 Quiz

Model Guardrails and FilteringInput Sanitization TechniquesModel Guardrails and FilteringWhat is LLM and Its ArchitectureChapter 4 Quiz

  • LLM ArchitectureModel SecurityLLM SecurityInfrastructure SecurityEthical ConsiderationsData Security
  • Chapter 2 Quiz

Instructor

Armaan Sidana

Armaan Sidana is a multifaceted individual with a passion for excellence across various domains. His expertise lies in the dynamic field of cybersecurity, where he holds notable certifications such as OSCP, CEH, CISA, and CSFPC. As a committed professional, He consistently seeks opportunities to contribute to the ever-evolving landscape of information security. Secured 100+ Companies with 1500+ Security Bugs. 

Mentored 25000+ students till now, being the guest lecturer at many educational institutions.

Join over 1 Million professionals from the most renowned Companies in the world!

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