The Model and Method of Information Security Data Leakage Detection and Prevention

In the rapidly developing era of informatization, data leakage has become a major threat faced by institutions. Traditional data leakage detection techniques have shortcomings in terms of real-time and adaptability. This article focuses on the shortcomings of existing algorithms and studies a new model for information security data leakage detection and prevention. This article adopts a network security monitoring network based on deep learning technology, constructs a network security monitoring network, realizes continuous monitoring and analysis of data flow, and effectively monitors and processes it, providing reliable security guarantees for network security. This article uses the method of interactive verification to test the generalization performance of the constructed model, and evaluates the stability and reliability of the model. The cross validation results show that for accuracy, the average value is 0.9, and the average recall rate is 0.87. The model for detecting and preventing information security data leaks is beneficial for timely detection and prevention of data leaks.