SOCMate AI

SOCMate AI is a cybersecurity assistant that analyzes security logs, detects threats, prioritizes incidents, and helps security teams respond faster with actionable insights.

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SOCMate AI

Inspiration

Cybersecurity analysts process thousands of network logs every day, making it difficult to quickly identify genuine threats. Manual log analysis is time-consuming, repetitive, and increases the risk of overlooking critical security incidents. We wanted to build an AI-powered solution that simplifies Security Operations Center (SOC) workflows by combining machine learning, intelligent log analysis, and an intuitive dashboard into one platform.

What it does

SOCMate AI is an intelligent Security Operations Center assistant that helps users detect anomalous network activity, analyze security logs, and understand potential threats. Users can upload network traffic logs, visualize key security metrics through interactive dashboards, and receive AI-powered explanations and recommendations using Google Gemini. The platform enables faster investigation and helps users make informed security decisions.

How we built it

We built the frontend using React, creating a responsive interface with interactive charts powered by Recharts. The backend was developed with FastAPI in Python, providing REST APIs for processing logs and communicating with the frontend. We integrated the Google Gemini API to deliver AI-powered security insights and natural language explanations. Machine learning techniques were used to identify anomalous network behavior, while GitHub was used for version control. Both the frontend and backend were deployed on Render for easy access and demonstration.

Challenges we ran into

Integrating the frontend, backend, AI model, and anomaly detection pipeline into a seamless workflow was one of our biggest challenges. Processing different log formats, generating meaningful AI responses, and designing clear visualizations required multiple iterations. We also faced deployment challenges while configuring APIs, environment variables, and cloud hosting, but successfully resolved them to create a fully functional application.

Accomplishments that we're proud of

  • Built a complete AI-powered cybersecurity platform from scratch.
  • Successfully integrated machine learning with generative AI for threat analysis.
  • Developed an interactive dashboard for security monitoring.
  • Created an AI Security Copilot capable of explaining suspicious network activity.
  • Successfully deployed both the frontend and backend on Render.

What we learned

This project strengthened our understanding of full-stack development, REST APIs, machine learning, cybersecurity, and cloud deployment. We gained practical experience with React, FastAPI, Google Gemini API, anomaly detection techniques, API integration, deployment on Render, and collaborative development using Git and GitHub. We also learned how AI can significantly improve SOC workflows by reducing manual effort and accelerating threat investigation.

What's next for SOCMate AI

We plan to enhance SOCMate AI with real-time packet capture, SIEM integration, live threat intelligence feeds, role-based authentication, Docker-based deployment, historical threat analytics, and automated incident response recommendations. Our long-term vision is to build a scalable AI-powered SOC platform that enables organizations to detect, investigate, and respond to cyber threats more efficiently.

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