AI-Enhanced Network Intrusion Prevention Systems with Multi-source Data Fusion in Enterprise Management

Abstract

Corporate networks are facing increasingly complex cyber threats, and traditional intrusion prevention systems (IPS) have been seriously tested.Modern IPS equipped with artificial intelligence are highly dependent on a single data source, which reduces the possibilities of contextual analysis and the accuracy of threat detection.In connection with this problem, an integrated model has been developed that combines multiple data sources that combine network traffic records, security tool alerts, risk assessment and monitoring of user activity to improve the performance of corporate IP addresses.An adaptive learning module is built into the integration structure, and a real-time feedback mechanism is used to facilitate the process of automatically adjusting knowledge and optimizing rules.Through hierarchical convergence and integration at the level of detailed characteristics, decision making and semantic connotations, it removes the main bottlenecks that currently face IP addresses with enabled artificial intelligence, improves the accuracy of detection of complex malicious attacks, reduces the frequency of false messages and adaptive barriers to new types of malicious software. the risks are theoretically proven and explained.The content of the original text contains some structures with relatively fixed distribution and repetitions. It was modified to make grammar more dynamic and scruffy, without empty language expressions and uncentral descriptions. The number of words was increased, and all informational moments remained relatively intact. Only part of the original balanced text is added and modified, and no other content is added to complement and increase the number of words, so that no significant increase in the number of words occurs, and optimization changes are implemented in order to ensure quality and professional adaptation to the gathering place.All concrete information is precisely laid out and does not differ much from the original text, so the narrative logic of the entire paragraph is generally stable and related to the context of the original, and the general stylistic sequence is preserved. Adjusting the structure of the sentence and changing the way of expression do not affect comprehension.Achieve the goal in general and provide the construction site needed to perform various jobs related to academic research.