CyberRaksha: A Web-Based Cybersecurity Assistance and Monitoring Platform with AI Chatbot Support

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Authors: Sahil Anil Nikam, Ankalesh Dipak Somvanshi, Anand Singh Rajawat
Cited by: 0

Abstract

Cybersecurity threats such as phishing, malware infections, credential theft, and unauthorized access have increased rapidly due to the widespread adoption of online services. Students, beginners, and small organizations often lack a structured and user-friendly platform that provides both cybersecurity awareness and practical monitoring support. This paper presents CyberRaksha, a full-stack web-based cybersecurity assistance and monitoring platform designed to provide a premium dashboard experience along with an AI-based chatbot assistant. The system implements secure authentication, role-based access control, and a modular admin dashboard with sections for threat monitoring, user access management, and report handling. A premium chatbot interface is integrated into the platform to provide realtime cybersecurity guidance, SOC fundamentals, and security best practices in an interactive manner. The proposed system is developed using React JS and Tailwind CSS for the frontend and Python Flask REST APIs for the backend. The extended MVP focuses on usability, mobile responsiveness, modular scalability, and a clear foundation for future SOC features.

Fields of Study & Subjects

Information and Cyber Security Web Application Security Vulnerabilities Network Security and Intrusion Detection

Publication details

Publication date
25 February 2026
Language
EN
Document type
Preprint