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TalEliyahu/Awesome-AI-Security
默认分支 main · commit 2ac3889c · 扫描时间 2026/6/9 14:48:22
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行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 TalEliyahu/Awesome-AI-Security 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Reposition the README H1 to explicitly state it's a curated collection
原因:
当前# Awesome AI Security Curated resources, research, and tools for securing AI systems.
复制粘贴的修复# Awesome AI Security: A Curated Collection of Resources, Research, and Tools for Securing AI Systems
- hightopics#2Add 'awesome-list' and more specific AI security topics
原因:
当前artificial-intelligence, cybersecurity
复制粘贴的修复artificial-intelligence, cybersecurity, awesome-list, ai-security, machine-learning-security, adversarial-ai, ai-governance, ai-risk-management
- mediumreadme#3Add a concise 'What is this repository?' section to the README
原因:
复制粘贴的修复Add a new section immediately after the initial description and before the Table of Contents, e.g., `## What is this repository? This repository serves as a comprehensive, curated hub for all things related to AI security. It is not a tool or a framework itself, but rather a guide to the best practices, research, tools, and datasets available to secure AI systems.`
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- IBM/adversarial-robustness-toolbox · 被推荐 1 次
- tensorflow/cleverhans · 被推荐 1 次
- Azure/counterfit · 被推荐 1 次
- tensorflow/privacy · 被推荐 1 次
- openai/robustness · 被推荐 1 次
- 品类问题How can I find resources for securing machine learning models against adversarial attacks?你:未被推荐AI 推荐顺序:
- Adversarial Robustness Toolbox (ART) (IBM/adversarial-robustness-toolbox)
- CleverHans (tensorflow/cleverhans)
- Microsoft Counterfit (Azure/counterfit)
- TensorFlow Privacy (tensorflow/privacy)
- OpenAI's 'Robustness' GitHub repository (openai/robustness)
- MITRE ATLAS
AI 推荐了 6 个替代方案,却始终没点名 TalEliyahu/Awesome-AI-Security。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What are the best practices and frameworks for AI system cybersecurity governance?你:未被推荐AI 推荐顺序:
- NIST AI Risk Management Framework (AI RMF)
- NIST Cybersecurity Framework (CSF)
- ISO/IEC 27001 (Information Security Management Systems)
- OWASP Top 10 for Large Language Models (LLMs)
- MITRE ATT&CK for Machine Learning (ML)
- CIS Critical Security Controls (CIS Controls)
- GDPR (General Data Protection Regulation)
- CCPA (California Consumer Privacy Act)
AI 推荐了 8 个替代方案,却始终没点名 TalEliyahu/Awesome-AI-Security。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesspass
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of TalEliyahu/Awesome-AI-Security?passAI 未点名 TalEliyahu/Awesome-AI-Security —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts TalEliyahu/Awesome-AI-Security in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 TalEliyahu/Awesome-AI-Security
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo TalEliyahu/Awesome-AI-Security solve, and who is the primary audience?passAI 未点名 TalEliyahu/Awesome-AI-Security —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 TalEliyahu/Awesome-AI-Security 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/TalEliyahu/Awesome-AI-Security)<a href="https://repogeo.com/zh/r/TalEliyahu/Awesome-AI-Security"><img src="https://repogeo.com/badge/TalEliyahu/Awesome-AI-Security.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
TalEliyahu/Awesome-AI-Security — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3