Abstract: In today's digital age, cybersecurity incidents are rising in frequency and sophistication, requiring intelligent, responsive, and proactive solutions. This paper presents the implementation of an AI-Driven Cybersecurity Chatbot for Incident Response, integrating OpenAI for natural language understanding and VirusTotal for real-time threat intelligence. The system assists users in detecting, analyzing, and responding to threats through a user-friendly conversational interface.A core feature is the secure user authentication system with login and logout tracking, where activity is logged and monitored across devices. If a login is detected from an unknown or suspicious device, the system sends an instant alert to the original device or email account, helping to prevent account takeovers. Furthermore, it provides actionable insights on how the email or device may have been targeted, such as brute-force attempts or phishing-based intrusions, enhancing transparency and user awareness.The system also includes MongoDB-backed chat history, a modern UI, and structured responses with contextual definitions and safety advice for AI and cybersecurity terms. By combining real-time intelligence with AI-powered guidance and proactive alerting, the chatbot empowers users to detect, understand, and mitigate cyber threats effectively.
Keywords: Artificial Intelligence (AI), Cybersecurity, Incident Response,Natural Language Processing (NLP), Chatbot, VirusTotal API, Threat Intelligence, OpenAI Integration,Login/Logout Tracking,Cross-Device Alert System
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DOI:
10.17148/IJARCCE.2025.14669
