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Tencent/AI-Infra-Guard

默认分支 main · commit 7dcf9a68 · 扫描时间 2026/5/26 14:16:20

星标 3,781 · Fork 372

AI 可见性总分
40 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 2 · 警告 0 · 失败 0
客观元数据检查
AI 认识你的名字
3 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

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 Tencent/AI-Infra-Guard 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。

整体方向
  • highreadme#1
    Add a clear H1 and introductory sentence to the README

    原因:

    复制粘贴的修复
    # AI-Infra-Guard: A Full-Stack AI Red Teaming Platform
    
    AI-Infra-Guard is a comprehensive platform designed to secure AI ecosystems through advanced security scans, agent and skill evaluations, and robust LLM jailbreak assessments. It provides a full-stack solution for AI security engineers and MLOps teams.
  • mediumreadme#2
    Elaborate on the 'full-stack' and 'platform' aspects in the README

    原因:

    复制粘贴的修复
    ## What is AI-Infra-Guard?
    
    AI-Infra-Guard functions as a unified AI Red Teaming platform, integrating multiple specialized scanning capabilities to provide end-to-end security for your AI deployments. This includes OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan, and comprehensive LLM jailbreak evaluation, ensuring every layer of your AI ecosystem is protected.
  • lowreadme#3
    Add a 'Comparison to Alternatives' section in the README

    原因:

    复制粘贴的修复
    ## Comparison to Alternatives
    
    While tools like Garak and Prompt Security Toolkit focus primarily on LLM vulnerability testing, and platforms like Gryphon.ai or Protect AI offer broader AI security, AI-Infra-Guard distinguishes itself as a full-stack AI Red Teaming platform. We provide a holistic approach that integrates LLM jailbreak evaluation with comprehensive security scanning for AI infrastructure, agents, and skills, offering a more integrated and extensive security posture for complex AI ecosystems.

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。

召回
0 / 2
0% 的问题里出现了 Tencent/AI-Infra-Guard
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
llm-garak/garak
在 2 个问题中被推荐 1 次
竞品排行
  1. llm-garak/garak · 被推荐 1 次
  2. Prompt Security Toolkit (PST) by Lakera AI · 被推荐 1 次
  3. OWASP Top 10 for Large Language Model Applications (LLM Top 10) · 被推荐 1 次
  4. HackerOne · 被推荐 1 次
  5. Bugcrowd · 被推荐 1 次
  • 品类问题
    How to effectively evaluate large language models against jailbreak and prompt injection attacks?
    你:未被推荐
    AI 推荐顺序:
    1. Garak (llm-garak/garak)
    2. Prompt Security Toolkit (PST) by Lakera AI
    3. OWASP Top 10 for Large Language Model Applications (LLM Top 10)
    4. HackerOne
    5. Bugcrowd
    6. Adversarial GLUE (AdvGLUE)
    7. NeMo Guardrails by NVIDIA (NVIDIA/NeMo-Guardrails)
    8. transformers (huggingface/transformers)
    9. langchain (langchain-ai/langchain)

    AI 推荐了 9 个替代方案,却始终没点名 Tencent/AI-Infra-Guard。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    What platforms offer full-stack security scanning for AI infrastructure and agent-based systems?
    你:未被推荐
    AI 推荐顺序:
    1. Gryphon.ai
    2. Protect AI (Guardian & Radar)
    3. Snyk
    4. Wiz
    5. Lacework
    6. Palo Alto Networks Prisma Cloud

    AI 推荐了 6 个替代方案,却始终没点名 Tencent/AI-Infra-Guard。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 completeness
    pass

  • README presence
    pass

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 Tencent/AI-Infra-Guard?
    pass
    AI 明确点名了 Tencent/AI-Infra-Guard

    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 Tencent/AI-Infra-Guard in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 Tencent/AI-Infra-Guard

    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 Tencent/AI-Infra-Guard solve, and who is the primary audience?
    pass
    AI 明确点名了 Tencent/AI-Infra-Guard

    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 Tencent/AI-Infra-Guard 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。

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订阅 Pro,解锁深度诊断

Tencent/AI-Infra-Guard — 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