AI POWERED SERVER LOG MANAGEMENT SOFTWARE

Abstract

This journal paper presents a new method for analyzing error codes and identifying sensitive information in system logs using artificial intelligence (AI) techniques. The study focuses on log analysis, where error logs generated by systems or applications are examined to detect error codes, generate possible solutions, and identify sensitive data such as secret keys. The proposed approach uses AI capabilities to automate error handling and improve system security by detecting possible data exposure within log files. By integrating natural language processing (NLP) with pattern recognition techniques, the system extracts relevant information from logs, associates error codes with predefined solutions, and applies machine learning models to detect sensitive information. Experimental results demonstrate that the proposed method effectively identifies error codes, provides useful solutions, and detects sensitive data with high accuracy and reliability.