Agentic AI-Powered SOC Dashboard for Real-Time Threat Detection This project is a cloud-based Security Operations Center (SOC) dashboard designed to perform real-time threat detection and analysis for IP addresses and domain names. The system uses intelligent rule-based logic to classify inputs into low, medium, or high-risk categories based on patterns, keywords, and known safe entities. It is built using a Flask backend deployed on Google Cloud Run, with BigQuery used for storing and querying transaction logs. The dashboard provides live monitoring features including a dynamic alerts panel, API usage analytics, KPI metrics, and a paginated transaction table. The UI is designed in a SOC-style format to simulate real-world security tools like Splunk. The platform demonstrates how AI-driven decision logic, cloud infrastructure, and real-time data visualization can be combined to build a scalable and practical cybersecurity monitoring solution.
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