REPOGEO REPORT · LITE
OWASP/www-project-top-10-for-large-language-model-applications
Default branch main · commit 02059576 · scanned 6/28/2026, 6:36:05 AM
GitHub: 1,308 stars · 324 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 OWASP/www-project-top-10-for-large-language-model-applications, 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.
- highreadme#1Reposition README's opening to emphasize 'standard awareness document' and 'framework'
Why:
CURRENTWelcome to the official repository for the OWASP Top 10 for Large Language Model Applications!
COPY-PASTE FIXThis is the official repository for the OWASP Top 10 for Large Language Model Applications, a critical standard awareness document and framework for identifying and mitigating the most significant security risks in LLM applications.
- hightopics#2Add more specific topics to improve categorization as a security framework
Why:
CURRENTai, appsec, llm, llm-security
COPY-PASTE FIXai, appsec, llm, llm-security, security-framework, vulnerability-list, risk-assessment, genai-security
- mediumreadme#3Add explicit license clarification to the README
Why:
COPY-PASTE FIX## License This project is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). For full details, see the [LICENSE](LICENSE) file.
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.
- Privitar · recommended 1×
- IBM Security Guardium · recommended 1×
- Microsoft Azure Confidential Computing · recommended 1×
- IBM AI Fairness 360 (AIF360) · recommended 1×
- Microsoft Counterfit · recommended 1×
- CATEGORY QUERYWhat are the critical security vulnerabilities in large language model applications?you: not recommended
Show full AI answer
- CATEGORY QUERYHow can developers identify and mitigate security risks in generative AI applications?you: not recommendedAI recommended (in order):
- Privitar
- IBM Security Guardium
- Microsoft Azure Confidential Computing
- IBM AI Fairness 360 (AIF360)
- Microsoft Counterfit
- Google Responsible AI Toolkit
- OWASP Top 10 for Large Language Model Applications (LLM Top 10)
- Guardrails AI
- NeMo Guardrails (NVIDIA)
- LangChain
- Snyk
- Trivy
- OWASP Dependency-Check
- Google What-If Tool
- Fiddler AI
- TruEra
AI recommended 16 alternatives but never named OWASP/www-project-top-10-for-large-language-model-applications. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
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 OWASP/www-project-top-10-for-large-language-model-applications?passAI did not name OWASP/www-project-top-10-for-large-language-model-applications — 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 OWASP/www-project-top-10-for-large-language-model-applications in production, what risks or prerequisites should they evaluate first?passAI did not name OWASP/www-project-top-10-for-large-language-model-applications — 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?
- In one sentence, what problem does the repo OWASP/www-project-top-10-for-large-language-model-applications solve, and who is the primary audience?passAI did not name OWASP/www-project-top-10-for-large-language-model-applications — 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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OWASP/www-project-top-10-for-large-language-model-applications — 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