LLM Pentesting: Mastering Security Testing for AI Models
Complete Guide to LLM Security Testing
4.23 (122 reviews)
4,621
students
2 hours
content
Nov 2024
last update
$44.99
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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
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
6262027
udemy ID
10/30/2024
course created date
11/4/2024
course indexed date
THeZoNE
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