Complete Guide to LLM Security Testing
Sub Category
- IT Certifications
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Objectives
- 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
- Real-world case studies on LLM security breaches and remediation
- Input sanitization techniques to prevent attacks
- Implementation of model guardrails and filtering methods
- Adversarial training practices to enhance LLM resilience
- Future security challenges and evolving defense mechanisms for LLMs
- Best practices for maintaining LLM security in production environments
- Strategies for continuous monitoring and assessment of AI model vulnerabilities
Pre Requisites
- Foundational Knowledge of Machine Learning
- Awareness of Cybersecurity Principles
- Interest in AI and Security
- Willingness to Engage in Hands-On Learning
- Familiarity with LLMs
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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