WebToolTip com Securing AI Applications

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/.../01. Understanding AI application architecture/

01. Why AI application security feels different.mp4

01. Why AI application security feels different.srt

02. The core building blocks LLMs, RAG, and agents.mp4

02. The core building blocks LLMs, RAG, and agents.srt

03. Trust boundaries and instruction hierarchies.mp4

03. Trust boundaries and instruction hierarchies.srt

/.../02. Mapping RAG, tools, and connectors/

01. Tracing a user request through RAG.mp4

01. Tracing a user request through RAG.srt

02. Understanding tool use and agent workflows.mp4

02. Understanding tool use and agent workflows.srt

03. Cataloging the AI supply chain.mp4

03. Cataloging the AI supply chain.srt

/.../03. Finding data exposure and unsafe action risks/

01. Sensitive data in prompts, context, and responses.mp4

01. Sensitive data in prompts, context, and responses.srt

02. Logs, traces, and observability pipelines.mp4

02. Logs, traces, and observability pipelines.srt

03. Separating data exposure, unsafe action, and policy failure.mp4

03. Separating data exposure, unsafe action, and policy failure.srt

/.../04. Building the security test plan/

01. Turning the architecture map into test areas.mp4

01. Turning the architecture map into test areas.srt

02. Writing measurable offensive test cases.mp4

02. Writing measurable offensive test cases.srt

03. Prioritizing scope, assumptions, and next steps.mp4

03. Prioritizing scope, assumptions, and next steps.srt

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Bonus Resources.txt

Total files 26