Dugganusa Research
D 59 completedPipeline State
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AI Prompt
Catalog Information
This project is a research repository containing peer-review-ready publications from DugganUSA's threat intelligence and security automation work.
Description
The repository showcases evidence-backed research on threat intelligence, security automation, and agentic AI capabilities. It includes production-tested detection rules and threat actor attribution at scale. The research pipeline demonstrates enterprise-grade agentic AI capability with multi-agent exploration, evidence-backed rigor, and production infrastructure.
الوصف
هذا المشروع هو مخزن بحثي يحتوي على المنشورات الجاهزة للنشر من عمل DugganUSA في مكافحة التهديدات و automation الأمنية. يظهر المخزن البحثي الدليل على أبحاث مدعومة بالدليل حول مكافحة التهديدات، automation الأمنية، و قدرات AI agentic. يشمل المخزن البحثي القواعد الفعالة للكشف عن التهديدات و التعرف على المتسللين في مقياس واسع. يظهر المخطط البحثي قدرات AI agentic من الدرجة الأولى مع الاستكشاف متعدد الأطراف، الدقة المدعومة بالدليل، و البنية التحتية للانتاج.
Novelty
7/10Tags
Claude Models
Quality Score
Strengths
- Low average code complexity \u2014 well-structured code
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
Security & Health
Languages
Frameworks
Concepts (1)
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| Repobility · MCP-ready · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description |  | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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