Threat Modeling
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What is Threat Modeling?
AI Red Teams apply threat modeling to identify unique attack surfaces in AI systems, such as manipulating training data, exploiting prompt interfaces, attacking the model inference process, or compromising connected tools/APIs. Before attacking an AI system, red teamers perform threat modeling to map out possible adversaries (from curious users to state actors) and attack vectors, prioritizing tests based on likely impact and adversary capability.
Free resources to learn Threat Modeling
More in stage 2: Prompt Hacking
Threat Modeling: common questions
Can I learn Threat Modeling in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Threat Modeling in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Threat Modeling tutorial for beginners?
It is lesson 15 of 64 in the free AI Red Teaming roadmap, in stage 2, Prompt Hacking. If you are new to AI Red Teaming, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.