What is the main purpose of this report?

The main purpose is to evaluate and compare different threat modeling methods for systems that utilize Artificial Intelligence (AI), providing insights into their effectiveness, advantages, and disadvantages.

What types of AI-utilized systems were evaluated?

The evaluation covered three types of AI usage patterns: applications with internal AI functions, applications using external Large Language Models (LLMs), and applications employing agent-based AI.

Which threat modeling methods were assessed?

The report assessed three methods: STRIDE, STRIDE+AI, and MAESTRO.

Who conducted the threat modeling?

The threat modeling was performed by three teams, each composed of three members, resulting in a total of nine modeling sessions.

What is the intended use of this report?

The report is intended to be used as training material for threat modeling of AI-utilized systems and as a reference for professionals conducting actual threat modeling.

AI News NQ Analysis

「AI利用系統威脅建模方法評估」報告發布

NQ 評分 50/100

AI 摘要（NQ 加工版）

JNSA發布了三種用於可視化AI特定威脅的威脅建模方法的評估結果。

尚無 AI 分析資料。

常見問題

Q: What is the main purpose of this report?: A: The main purpose is to evaluate and compare different threat modeling methods for systems that utilize Artificial Intelligence (AI), providing insights into their effectiveness, advantages, and disadvantages.
Q: What types of AI-utilized systems were evaluated?: A: The evaluation covered three types of AI usage patterns: applications with internal AI functions, applications using external Large Language Models (LLMs), and applications employing agent-based AI.
Q: Which threat modeling methods were assessed?: A: The report assessed three methods: STRIDE, STRIDE+AI, and MAESTRO.
Q: Who conducted the threat modeling?: A: The threat modeling was performed by three teams, each composed of three members, resulting in a total of nine modeling sessions.
Q: What is the intended use of this report?: A: The report is intended to be used as training material for threat modeling of AI-utilized systems and as a reference for professionals conducting actual threat modeling.