Financial Compliance Log Anomaly Detection Framework

Develop a sophisticated Bash-based log analysis framework for detecting potential financial compliance violations across enterprise transaction systems. Create a script that can ingest multiple log formats (syslog, JSON, custom banking logs), apply machine learning-inspired pattern recognition to identify suspicious transaction sequences, and generate comprehensive audit reports. Implement multi-stage filtering with configurable risk thresholds and the ability to output findings in SEC-compliant reporting formats.