AI Feature Threat Model Builder for fast browser-based work
Build a threat model for AI chat, RAG, coding agents, tool use, logging, retrieval, and user-data flows before launch.
中文：在上线前，为 AI 聊天、RAG、编码 Agent、工具调用、日志、检索和用户数据流生成威胁模型。
Example: Use it before adding a chatbot, AI agent, retrieval system, prompt logger, or support automation to a product.
Use this tool to finish AI Feature Threat Model Builder work quickly.
What you paste
Paste temporary text, debugging material, drafts, or content you need to transform.
What you get
- Browser-side result
- Copy or export action
- Review notes
Next step
Review before copying results, and use a stricter workflow for high-risk material.
Decide whether this tool fits the job
Fineuralab core tool pages do more than expose an input box. They explain fit, boundaries, and expected output so you can decide whether to continue.
Good fit
- Describe the AI feature, data flow, storage/logging behavior, and tool permissions.
- Detect prompt injection, data exfiltration, tool over-permission, RAG poisoning, hallucination, and logging risks.
- Copy a threat model with mitigations and pre-launch checks.
Not a good fit
- High-risk legal, medical, financial, or compliance conclusions.
- Unredacted production secrets, customer records, internal strategy, or private research material.
Privacy boundary
- This is a first-pass threat model, not a substitute for a formal security review.
- The tool runs locally and does not send feature details to a model.
- Use it before launching chat, RAG, agent, retrieval, or prompt-logging features.
An AI answer, prompt, chat excerpt, log summary, or context you plan to share with an AI system.
A clearer review checklist, risk labels, executable next steps, or a safer follow-up prompt.
Where this tool fits in real work
Use cases
- Describe the AI feature, data flow, storage/logging behavior, and tool permissions.
- Detect prompt injection, data exfiltration, tool over-permission, RAG poisoning, hallucination, and logging risks.
- Copy a threat model with mitigations and pre-launch checks.
Review notes
- This is a first-pass threat model, not a substitute for a formal security review.
- The tool runs locally and does not send feature details to a model.
- Use it before launching chat, RAG, agent, retrieval, or prompt-logging features.
Local-first handling
This page is built as a browser utility. Inputs are processed in the page where possible, with no account requirement and no intentional upload step for the tool workflow.
When to use AI Feature Threat Model Builder
Good fit
- Describe the AI feature, data flow, storage/logging behavior, and tool permissions.
- Detect prompt injection, data exfiltration, tool over-permission, RAG poisoning, hallucination, and logging risks.
- Copy a threat model with mitigations and pre-launch checks.
Before copying results
- This is a first-pass threat model, not a substitute for a formal security review.
- The tool runs locally and does not send feature details to a model.
- Use it before launching chat, RAG, agent, retrieval, or prompt-logging features.
Use a stricter workflow
If the context includes production secrets, customer records, private research material, or executable scripts, redact first and use a stricter human review workflow.
Keep learning this workflow
Keep working with nearby utilities
AI Feature Threat Model Builder questions
Does it replace a security review?
No. It gives a local first-pass threat model and mitigation checklist.
Which risks does it cover?
Prompt injection, data exfiltration, over-broad tool permissions, RAG poisoning, hallucination, and logging retention.
Is this tool free?
Yes. The current Toolkits tools are free to use and do not require an account. If advertising is added later, it should be clearly labeled and kept away from primary tool controls.