REPOGEO REPORT · LITE
tmylla/Awesome-LLM4Cybersecurity
Default branch main · commit 580059ef · scanned 5/22/2026, 3:37:29 AM
GitHub: 1,478 stars · 155 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 tmylla/Awesome-LLM4Cybersecurity, 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#1Add an explicit introductory sentence to the README
Why:
COPY-PASTE FIXAdd the following line as the very first content in the README.md file, before any existing headings or badges: `This repository is an awesome list and systematic literature review of research papers on Large Language Models (LLMs) in cybersecurity.`
- hightopics#2Add relevant topics to the repository
Why:
CURRENT(none)
COPY-PASTE FIXllm, large-language-models, cybersecurity, information-security, ai, machine-learning, literature-review, awesome-list, research, papers
- highlicense#3Add a LICENSE file to the repository
Why:
CURRENT(no LICENSE file detected — the repo has no recognizable license)
COPY-PASTE FIXCreate a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects the intended usage of this curated list of resources.
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.
- MITRE ATT&CK Framework · recommended 1×
- Splunk · recommended 1×
- Elastic Stack · recommended 1×
- IBM Security QRadar Advisor with Watson · recommended 1×
- CylancePROTECT · recommended 1×
- CATEGORY QUERYLooking for a systematic review of large language models applied to cybersecurity problems.you: not recommended
Show full AI answer
- CATEGORY QUERYNeed to understand current research and applications of AI for information security defense.you: not recommendedAI recommended (in order):
- MITRE ATT&CK Framework
- Splunk
- Elastic Stack
- IBM Security QRadar Advisor with Watson
- CylancePROTECT
- Darktrace
- IEEE Symposium on Security and Privacy (S&P)
- USENIX Security Symposium
- ACM Conference on Computer and Communications Security (CCS)
- Black Hat / DEF CON
AI recommended 10 alternatives but never named tmylla/Awesome-LLM4Cybersecurity. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
Suggestion:
- 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 tmylla/Awesome-LLM4Cybersecurity?passAI did not name tmylla/Awesome-LLM4Cybersecurity — 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 tmylla/Awesome-LLM4Cybersecurity in production, what risks or prerequisites should they evaluate first?passAI named tmylla/Awesome-LLM4Cybersecurity 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 tmylla/Awesome-LLM4Cybersecurity solve, and who is the primary audience?passAI did not name tmylla/Awesome-LLM4Cybersecurity — 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
Drop this badge into the README of tmylla/Awesome-LLM4Cybersecurity. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/tmylla/Awesome-LLM4Cybersecurity)<a href="https://repogeo.com/en/r/tmylla/Awesome-LLM4Cybersecurity"><img src="https://repogeo.com/badge/tmylla/Awesome-LLM4Cybersecurity.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
tmylla/Awesome-LLM4Cybersecurity — 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