Advanced Log Analytics for Financial Fraud Detection

Design a centralized log management and analysis system using ELK stack and machine learning integration for proactive financial fraud detection. Create a solution that aggregates logs from multiple sources, implements real-time anomaly detection algorithms, and generates automated threat intelligence reports. Include advanced correlation engines that can identify subtle patterns across transaction logs, network activities, and user behaviors.