Log Anomaly Detection and Incident Probability Forecasting: AI-Based Predictive Maintenance Frameworks for Financial Information Technology Infrastructure
Keywords:
log anomaly detection, incident probability forecasting, predictive maintenance frameworks, financial information technology infrastructure, machine learningAbstract
Financial institutions are highly dependent on their information systems and networks. It is critical for banks, brokers, and insurance agencies to quickly identify and repair failures in these networks in order to prevent their paralyzing impact. Modern IT solutions based on artificial intelligence, as well as event correlators and monitoring systems designed to identify fault conditions in networks, can help in this selective search for an observed problem.Downloads
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