RRepoGEO

REPOGEO REPORT · LITE

DeepSpaceHarbor/Awesome-AI-Security

Default branch master · commit a5e2065e · scanned 5/23/2026, 11:53:24 AM

GitHub: 1,631 stars · 224 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface DeepSpaceHarbor/Awesome-AI-Security, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["awesome-list", "ai-security", "machine-learning-security", "adversarial-ml", "cybersecurity", "ml-security", "security-resources"]
  • highabout#2
    Update the repository description

    Why:

    CURRENT
    :file_folder: #AISecurity
    COPY-PASTE FIX
    A curated list of resources, papers, and tools for AI security, adversarial machine learning, and ML model protection.
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root, or add a clear license statement to the README if a custom license applies.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface DeepSpaceHarbor/Awesome-AI-Security
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CleverHans
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CleverHans · recommended 2×
  2. Microsoft Counterfit · recommended 2×
  3. TensorFlow Privacy · recommended 2×
  4. IBM Adversarial Robustness Toolbox (ART) · recommended 1×
  5. Foolbox · recommended 1×
  • CATEGORY QUERY
    How can I protect my machine learning models from adversarial attacks?
    you: not recommended
    AI recommended (in order):
    1. IBM Adversarial Robustness Toolbox (ART)
    2. CleverHans
    3. Foolbox
    4. Microsoft Counterfit
    5. Adversarial-ML-Toolkit (AMT)
    6. PyTorch-Adversarial-Training
    7. TensorFlow Privacy

    AI recommended 7 alternatives but never named DeepSpaceHarbor/Awesome-AI-Security. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find resources and code examples for AI model security vulnerabilities?
    you: not recommended
    AI recommended (in order):
    1. Adversarial Robustness Toolbox (ART)
    2. CleverHans
    3. Microsoft Counterfit
    4. OWASP Top 10 for Large Language Models (LLMs)
    5. MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems)
    6. Hugging Face's `evaluate` library
    7. TensorFlow Privacy

    AI recommended 7 alternatives but never named DeepSpaceHarbor/Awesome-AI-Security. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of DeepSpaceHarbor/Awesome-AI-Security?
    pass
    AI did not name DeepSpaceHarbor/Awesome-AI-Security — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts DeepSpaceHarbor/Awesome-AI-Security in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DeepSpaceHarbor/Awesome-AI-Security explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo DeepSpaceHarbor/Awesome-AI-Security solve, and who is the primary audience?
    pass
    AI did not name DeepSpaceHarbor/Awesome-AI-Security — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)
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DeepSpaceHarbor/Awesome-AI-Security — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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DeepSpaceHarbor/Awesome-AI-Security — RepoGEO report