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Threat Modeling for AI Features with STRIDE
11.1🔒Why AI Features Need Dedicated Threat ModelingThreat modeling is the systematic identification of potential threats to a system. For AI features, the threat model must extend beyond…
11.2🔒STRIDE + AI Threat ModelSTRIDE is a classic threat modeling framework developed at Microsoft. Here is how each category applies to AI features:
11.3🔒AI Feature Threat Model TemplateUse this template for every AI feature before it reaches production:
11.4🔒Running a Threat Modeling Session- Required: QA architect, security engineer, feature developer, product owner - Optional: SRE, compliance officer (for regulated industries)
11.5🔒Common AI Threat PatternsThe LLM acts as a "deputy" between the user and backend services. An attacker manipulates the LLM to make the deputy perform unauthorized…
11.6🔒From Threat Model to Test PlanEvery threat in the model should map to at least one automated test:
11.7🔒Exercises: Chapter 11Exercise 11.1 (Beginner, 45 min): Complete the STRIDE threat model template for an AI feature in your application.
11.8🔒Q&ASelf-Assessment Quiz: Chapter 111. What are the six categories in STRIDE? 2. How does "Spoofing" manifest differently in AI vs. traditional applications? 3. What is the…
11.9🔒Key Takeaways- Every AI feature needs a dedicated threat model before production - STRIDE extended with AI-specific threats provides comprehensive…
11.10🔒Career Translation- Led STRIDE-based threat modeling sessions for 8 AI features before production release, identifying 40+ threats and mapping each to…
11.11🔒Q&AInterview Depth CheckPrompt: Walk through a STRIDE analysis for an AI chatbot that can look up customer orders and process refunds up to $100. Identify at least…