ThreatPulse: An AI-Enhanced SIEM Framework for Web Vulnerability Detection and Threat Intelligence

The survey provides an extensive overview of recent trends in Artificial Intelligence augmented Security Information and Event Management (SIEM) systems for web application se-curity. Current research demonstrates that combining machine learning, intelligent event correlation and automated security monitoring significantly enhances the detection of online dan-gers over traditional rule-based methods. The literature survey also highlighted various limitations of existing SIEM solutions including reliance on static correlation rules, high deployment costs, limited application layer moni-toring, lack of adequate adaptive learning capabilities, and lack of collaborative threat intelligence mechanisms.

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