GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 1
Dynamic SOC Visualization with Threat Intelligence Integration
Authors
T. Sathya, M. Kavin Surya, H. Ganesh, S. Krithick Sai Vibhushan
Abstract
SOC dashboard in regards to gathering and correlating of information from sources such as SIEM, IDS/IPS, Firewall, external threat intelligence feeds. This configuration has the flexibility of widgets and settings, and puts together an overview of security events in a single workspace. It accumulates and standardizes information from a range of different sources, enriching threat detection by adding context and strongly actionable information. The inclusion of graphs, charts and maps enable users to gain trends and patterns; SOC teams benefit from enabling them to detect, respond and manage threats. For the interactive part of the dashboard the incorporation of the machine learning models for Anomaly detection and Predictive Analysis, help SOC teams to detect new threats and enhance the response towards it. It includes aspects for momentaneous checking, customer input incorporation, and model recurrent modification for optimum effectiveness and currency. The system architecture of the program is built to be scalable; it has an open API to accommodate possible future expansion of this program, as well as technology integration so that it can accommodate future requirements in cybersecurity. It covers the range of features from data collection, data cleaning, feature extraction and further use of the machine learning model, the use of which allows you to create an easily adaptable SOC workspace with real-time data visualization to manage threats as a beneficial and effective addition to the work.
Pages:
3381 - 3386