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Update 4.0_Appendix_and_References.md
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@@ -82,20 +82,7 @@ Appendix E connects AI-specific threats to established vulnerability taxonomies
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This mapping demonstrates how threats like model extraction, prompt injection, and training data leakage relate to traditional software weakness classes.
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The goal is to integrate AI-security testing with existing enterprise vulnerability management workflows.
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### **4.6 Appendix F: Domain-Specific Testing**
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This appendix outlines considerations for **testing AI systems in specific industry domains**, including:
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* healthcare,
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* finance,
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* automotive and autonomous systems,
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* critical infrastructure,
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* defense and aerospace.
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Each domain presents unique risks, regulatory frameworks, and operational constraints.
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The appendix provides guidance on tailoring AI testing strategies to sector-specific requirements and workflows.
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### **4.7 References**
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### **4.6 References**
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The final section compiles all sources cited throughout this guide, including standards, academic research, industry papers, and open-source projects.
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These references provide the foundational material supporting the frameworks, methodologies, and recommendations outlined in the OWASP AI Testing Guide.
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