Cyber Threat Intelligence Dashboard

  • Unique Paper ID: 195893
  • Volume: 12
  • Issue: 11
  • PageNo: 1566-1571
  • Abstract:
  • Cybersecurity threats are increasing at an alarming rate, with attackers continuously exploiting vulnerabilities through malicious IP addresses, domains, and malware campaigns. Manual monitoring of such threats is inefficient, error-prone, and often delayed, reducing the ability to prevent incidents effectively. To address this challenge, this paper proposes a Cyber Threat Intelligence (CTI) Dashboard that collects and analyzes real-time threat data from multiple open-source intelligence platforms, including VirusTotal, AlienVault OTX, and AbuseIPDB, and presents actionable insights through a centralized interface. The system is developed using lightweight frameworks such as Python Flask and integrates APIs to automatically fetch and process data on suspicious entities. It organizes the data to highlight threat categories, severity levels, frequency, and geolocation patterns. The interactive dashboard visualizes this information through charts, tables, and alert mechanisms, enabling security analysts to identify potential threats proactively. The proposed system supports threat hunting and Security Operations Center (SOC) activities by enhancing early detection and improving situational awareness. By automating data collection, correlation, and visualization, the system reduces the time and effort required for threat intelligence analysis. Future enhancements include integration with Security Information and Event Management (SIEM) systems, incorporation of predictive analytics, and scalability for enterprise-level deployment.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{195893,
        author = {Gracy Avula and Manasa Palla and Navya Gonu and Sarika Muddagowni and P. Sandhya Rani},
        title = {Cyber Threat Intelligence Dashboard},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1566-1571},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195893},
        abstract = {Cybersecurity threats are increasing at an alarming rate, with attackers continuously exploiting vulnerabilities through malicious IP addresses, domains, and malware campaigns. Manual monitoring of such threats is inefficient, error-prone, and often delayed, reducing the ability to prevent incidents effectively. To address this challenge, this paper proposes a Cyber Threat Intelligence (CTI) Dashboard that collects and analyzes real-time threat data from multiple open-source intelligence platforms, including VirusTotal, AlienVault OTX, and AbuseIPDB, and presents actionable insights through a centralized interface. The system is developed using lightweight frameworks such as Python Flask and integrates APIs to automatically fetch and process data on suspicious entities. It organizes the data to highlight threat categories, severity levels, frequency, and geolocation patterns. The interactive dashboard visualizes this information through charts, tables, and alert mechanisms, enabling security analysts to identify potential threats proactively. The proposed system supports threat hunting and Security Operations Center (SOC) activities by enhancing early detection and improving situational awareness. By automating data collection, correlation, and visualization, the system reduces the time and effort required for threat intelligence analysis. Future enhancements include integration with Security Information and Event Management (SIEM) systems, incorporation of predictive analytics, and scalability for enterprise-level deployment.},
        keywords = {Cyber Threat Intelligence, Dashboard, Data Visualization, Flask, Open-Source Intelligence, Real-Time Monitoring, Threat Analysis.},
        month = {April},
        }

Cite This Article

Avula, G., & Palla, M., & Gonu, N., & Muddagowni, S., & Rani, P. S. (2026). Cyber Threat Intelligence Dashboard. International Journal of Innovative Research in Technology (IJIRT), 12(11), 1566–1571.

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