International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 11

Informative Article | Computers Electrical Engineering | Volume 12 Issue 3, March 2023 | Pages: 1795 - 2301 | India


AI-Enhanced Cyber Incident Response and Recovery

Sunil Chahal

Abstract: The project on AI-enhanced Cyber Incident Response and Recovery examines how to better integrate cutting-edge technology like machine learning and automation tools. Data privacy, bias reduction, and legal compliance are all ethical issues. Resource shortages, technological limits, and security hazards are problems. Strong security measures, the development of skills, and emergency preparedness are all components of mitigation techniques. The initiative emphasizes responsible and ethical cybersecurity practices while aiming to increase threat detection speed, decrease false positives, and improve overall cybersecurity outcomes.

Keywords: Cyber Incident Response, Machine Learning, Bias Mitigation, Threat Detection, False Positives, Contingency Planning

How to Cite?: Sunil Chahal, "AI-Enhanced Cyber Incident Response and Recovery", Volume 12 Issue 3, March 2023, International Journal of Science and Research (IJSR), Pages: 1795-2301, https://www.ijsr.net/getabstract.php?paperid=SR231003163025, DOI: https://dx.doi.org/10.21275/SR231003163025

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