# mapping
標記為「mapping」的 10 篇文章
實作：繪製 AI 系統的攻擊面
對 AI 系統進行偵察的實作課程——辨識元件、繪製資料流、枚舉工具，並撰寫攻擊面文件。
Lab: Content Policy Boundary Mapping
Map the content policy boundaries of LLM applications to identify permitted and restricted topic areas systematically.
Rate Limit and Quota Mapping
Map the rate limits,quotas,throttling behavior of LLM APIs to plan efficient testing strategies.
Lab: Mapping Safety Boundaries
系統性 discover what a language model will and won't do by probing its safety boundaries across multiple categories and documenting the results.
安全 Boundary Mapping
Systematically map the safety boundaries of an LLM by testing increasingly sensitive topics與documenting refusal patterns.
安全 Boundary Mapping 練習
Systematically map the safety boundaries of an LLM application across multiple topic categories.
AI 攻擊面繪製
辨識 AI 系統中所有攻擊向量之系統化方法論：輸入通道、資料流、工具整合與信任邊界。
AI 紅隊偵察
繪製 AI 系統架構、模型與防禦配置的偵察技術。
Mapping the 攻擊 Surface of AI Systems
Systematic walkthrough for identifying and mapping every attack surface in an AI system, from user inputs through model inference to output delivery and tool integrations.
將發現對應至 MITRE ATLAS
將 AI 紅隊發現對應至 MITRE ATLAS 戰術、技術與程序的方法論。