SOC-Dashboard

Inspiration As cybersecurity threats continue to grow in complexity and frequency, the need for centralized, real-time visibility into security events becomes essential. The inspiration behind SOC-Dashboard was to create a lightweight yet powerful solution for security analysts to monitor logs, detect anomalies, and respond faster — all from a unified interface.

What it does SOC-Dashboard is a centralized platform that aggregates, analyzes, and visualizes security data in real-time. It provides key functionalities like:

Real-time log monitoring and parsing

Threat intelligence integration

Alert generation based on predefined rules

Visualization of attack patterns and system anomalies

User-friendly UI for incident tracking and summary reports

How we built it The SOC-Dashboard was built using a full-stack approach:

Backend: Python (Flask) for API services and log processing

Frontend: React.js for a responsive and intuitive user interface

Database: MongoDB for storing logs and alert metadata

Integration: Syslog/ELK integration for log ingestion, and custom scripts for parsing and alerting

Deployment: Docker for containerization and scalability

Challenges we ran into Handling and normalizing logs from multiple formats (Syslog, JSON, custom formats)

Building efficient alert logic that avoids both false positives and missed detections

Designing an intuitive UI that doesn’t overwhelm analysts with data

Ensuring real-time performance with growing datasets

Accomplishments that we're proud of Successfully built a modular and scalable architecture

Integrated real-time alerting with a responsive front-end dashboard

Achieved log ingestion and processing speeds that support medium-scale environments

Created a tool that closely aligns with real SOC workflows and blue team operations

What we learned Deeper understanding of log formats, SIEM-like architecture, and threat detection logic

Importance of UI/UX in cybersecurity tools

Experience in full-stack development, containerization, and real-time data pipelines

The real-world challenges SOC analysts face and how automation can ease them

What's next for SOC-Dashboard Implement machine learning-based anomaly detection

Add support for external threat feeds (e.g., MISP, AlienVault OTX)

Role-based access control and audit logs

Integration with SOAR platforms for automated incident response

Expand log source compatibility (e.g., AWS CloudTrail, Azure Logs, etc.)

Built With

• java
• react
• sql
• xampp