RRepoGEO

REPOGEO REPORT · LITE

msoedov/agentic_security

Default branch main · commit 42615e50 · scanned 6/29/2026, 10:31:24 AM

GitHub: 1,912 stars · 267 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
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 msoedov/agentic_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
  • highreadme#1
    Reposition the README's opening to highlight the 'agentic' methodology

    Why:

    CURRENT
    An open-source vulnerability scanner for Agent Workflows and Large Language Models (LLMs) Protecting AI systems from jailbreaks, fuzzing, and multimodal attacks.
    COPY-PASTE FIX
    An open-source **agentic** vulnerability scanner for Agent Workflows and Large Language Models (LLMs), leveraging autonomous agents to protect AI systems from jailbreaks, fuzzing, and multimodal attacks.
  • mediumcomparison#2
    Add a dedicated 'Comparison' or 'Why Agentic Security?' section to the README

    Why:

    COPY-PASTE FIX
    A new section titled 'Why Agentic Security? (vs. Giskard, LLM Guard, Garak)' or similar, outlining key differentiators like its agentic approach, multi-step attack simulation, and multimodal capabilities.
  • lowtopics#3
    Expand the 'Topics' list with more specific terms related to agentic AI and security

    Why:

    CURRENT
    agent-framework, agent-security, ai-red-team, llm-evaluation, llm-evaluation-framework, llm-fuzzer, llm-fuzzer-aggregator, llm-fuzzing, llm-guardrails, llm-jailbreaks, llm-scanner, llm-security, llm-vulnerabilities, prompt-testing
    COPY-PASTE FIX
    agent-framework, agent-security, ai-red-team, llm-evaluation, llm-evaluation-framework, llm-fuzzer, llm-fuzzer-aggregator, llm-fuzzing, llm-guardrails, llm-jailbreaks, llm-scanner, llm-security, llm-vulnerabilities, prompt-testing, agentic-ai-security, autonomous-red-teaming, multimodal-llm-attacks, rl-based-attacks

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 msoedov/agentic_security
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Giskard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Giskard · recommended 1×
  2. LLM Guard · recommended 1×
  3. OWASP LLM Top 10 Project · recommended 1×
  4. MITRE ATLAS · recommended 1×
  5. PromptInject · recommended 1×
  • CATEGORY QUERY
    How to scan large language models for vulnerabilities and potential jailbreaks?
    you: not recommended
    AI recommended (in order):
    1. Giskard
    2. LLM Guard
    3. OWASP LLM Top 10 Project
    4. MITRE ATLAS
    5. PromptInject
    6. Scale AI
    7. Surge AI
    8. LangChain
    9. LlamaIndex
    10. Semantic Kernel
    11. OpenAI's moderation endpoint

    AI recommended 11 alternatives but never named msoedov/agentic_security. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for AI red teaming and LLM security fuzzing?
    you: not recommended
    AI recommended (in order):
    1. Garak
    2. LLM-Security
    3. Adversarial GLUE (AdvGLUE)
    4. OpenAI Evals
    5. Robustness Gym
    6. Microsoft Counterfit
    7. IBM Adversarial Robustness Toolbox (ART)

    AI recommended 7 alternatives but never named msoedov/agentic_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
    pass

  • 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 msoedov/agentic_security?
    pass
    AI did not name msoedov/agentic_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 msoedov/agentic_security in production, what risks or prerequisites should they evaluate first?
    pass
    AI named msoedov/agentic_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 msoedov/agentic_security solve, and who is the primary audience?
    pass
    AI named msoedov/agentic_security explicitly

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

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msoedov/agentic_security — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite