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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 5, MAY 2024

AI DRIVEN CYBERSECURITY CHATBOT FOR INCIDENT RESPONSE

Ms. Pratyaksha S, Adeeb Sadiq, Aisiri K S, Deeksha K M, Kavya K

DOI: 10.17148/IJARCCE.2024.13509

Abstract: In today's cybersecurity realm, combatting advanced threats requires innovative solutions for early detection and swift response. This system introduces a pioneering chatbot system tailored for cybersecurity, employing AI, ML, and NLP. It continuously monitors diverse data streams like network traffic and social media, using ML to pinpoint potential threats accurately, even zero-day vulnerabilities. Acting as a user-friendly interface, it allows real-time updates, incident report requests, and alerts, improving usability and decision-making. Integration capabilities enable seamless coordination across security platforms, maximizing current investments. Advanced automation features streamline incident response, with the chatbot autonomously initiating actions such as isolating compromised systems. This approach empowers organizations to protect vital assets in a dynamic digital landscape, leveraging AI, ML, and NLP to proactively tackle cyber threats.

Keywords: Cybersecurity, Chatbot system, AI, ML, NLP.

How to Cite:

[1] Ms. Pratyaksha S, Adeeb Sadiq, Aisiri K S, Deeksha K M, Kavya K, “AI DRIVEN CYBERSECURITY CHATBOT FOR INCIDENT RESPONSE,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13509