CyberThreat Insight: Research-Driven Cybersecurity Analytics and Threat Detection
Abstract
Cyber Threat Insight – Initial Public Release This is the first public release of Cyber Threat Insight, an open-source, research-driven cybersecurity analytics and threat detection platform. Key Features Model Development & Experimentation: model_dev/ Inference & Production Pipelines: model_inference/, production/ Dashboards & Visualizations: cyber_attack_insight/ (Dash / Plotly / Streamlit) Community & Contribution Guidelines: .github/ (CONTRIBUTING.md, SPONSORS.md) Reproducibility Focused: CITATION.cff, synthetic datasets, and documented workflows Included Documentation README.md CONTRIBUTING.md SPONSORS.md CITATION.cff LICENSE (MIT) Recommended Files to Attach README.md CITATION.cff LICENSE Small synthetic example dataset (.csv or .json) Example dashboard screenshot (.png optional) Release notes or change log (CHANGELOG.md optional) Citation If you use Cyber Threat Insight in research, please cite it as: Vovor, Atsu. 2026. CyberThreat Insight: Research-Driven Cybersecurity Analytics and Threat Detection. 🤝 Connect with Me I am open to collaboration, research discussions, or applied analytics projects. Atsu Vovor — Consultant, Data & Analytics ✉️ atsu.vovor@bell.net LinkedIn | GitHub | Tableau Portfolio 📍 Mississauga, ON README.md cyber_security_analytics.html LICENSE.txt SPONSORS.md CONTRIBUTING.md
Fields of Study & Subjects
Network Security and Intrusion Detection
Information and Cyber Security
Digital and Cyber Forensics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026