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The AI Security Landscape
1.1Why AI Applications Need a New Security ApproachAI applications are still web applications. They still have APIs, databases, authentication systems, and user interfaces. Every…1.2The AI Security TimelineAI security is a young field, but it is maturing rapidly:1.3Threat Actors and MotivationsUnderstanding who attacks AI systems and why helps you prioritize your testing:1.4Key Concepts and TerminologyBefore diving into specific vulnerabilities, establish a common vocabulary:1.5The OWASP LLM Top 10 at a GlanceThe OWASP Top 10 for LLM Applications is the essential framework for AI security testing. Here is a high-level overview; Parts II and III…1.6Q&ASelf-Assessment Quiz: Chapter 11. Name three ways an AI application's attack surface differs from a traditional web application. 2. What is the difference between prompt…1.7Key Takeaways- AI applications have a dual attack surface: traditional web vulnerabilities plus AI-specific vulnerabilities - The OWASP LLM Top 10 is…1.8Career Translation- Mapped the dual attack surface of AI-powered applications, identifying 10+ AI-specific vulnerability classes beyond traditional OWASP Top…1.9Q&AInterview Depth CheckPrompt: Your company is launching an AI-powered customer support chatbot that can look up orders and process refunds. The security team…