prahathi06/Cloud-Breach-prediction-Framework

# 🛡️ Cloud Breach Prediction & Threat Intelligence Platform An enterprise-grade, proactive SecOps intelligence platform engineered to predict cloud data breaches and anomalous security infrastructure behaviors before they occur. ## 🚀 Key Features * **Pre-emptive Threat Modeling:** Utilizes behavioral telemetry cross-analysis (such as access velocities overlapping with exfiltration sizes) to calculate a dynamic `Breach_Probability` index. * **Role-Based Access Control (RBAC):** Built-in corporate Single Sign-On (SSO) engine supporting differentiated views for **SecOps Directors** and **SOC Analysts**. * **Dynamic Data Engineering Pipeline:** Simulates high-frequency cloud log streams with complex pattern injections to address real-world imbalanced data environments. * **Interactive Command Interface:** Interactive analytical dashboard including asset clustering space maps, entity risk vectors, and structural log filters. ## 💻 Tech Stack * **Frontend & Routing:** Streamlit (Session State management) * **Data Processing Engine:** Pandas & NumPy * **Data Visualization UI:** Plotly Express (Dark Template Engine) ## 🔧 Local Execution Instructions 1. Clone this repository to your local machine. 2. Initialize and activate a Python virtual environment: python -m venv venv .\venv\Scripts\Activate.ps1