Enhancing Cybersecurity Threat Detection and Response Through Big Data Analytics in Management Information Systems

Abstract

The research analyzes exactly how Big Data Analysis improves threat detection combined with response capabilities in Management Information System which delivers enhanced system resilience along with better risk management capabilities. Organizations fast-forwarded their business digitization efforts Management Information Systems became more important than ever while making them attractive targets against cyber-attacks. It is challenging to manage both the rising cyberattack complexity together with their increased number. The application of Big Data Analytics delivers a game-changing strategy for cybersecurity, which depends on immediate data handling and detection of security patterns and the design of predictive systems. This study uses both quantitative methods and qualitative analysis to develop its methodology. A comprehensive evaluation of Big Data Analysis applications for cybersecurity takes place through systematic research while analyzing organizational implementations of Big Data Analysis security solutions. The analysis utilizes machine learning models to process information obtained from cybersecurity incidents as well as response strategies to determine the predictive capabilities of threat detection. Organizations realize improved cybersecurity results by implementing Big Data Analytics since they develop the capability to detect threats early and have quicker incident response times. The integration of Big Data Analysis technology in security frameworks helps organizations resist better cyber-attacks. AI analysis technology and blockchain networks so Management Information System cybersecurity systems can achieve greater strength.