This article demonstrates how to use Amazon CloudWatch machine learning capabilities to analyze AWS CloudTrail logs for security monitoring and anomaly detection.

• Create custom metrics from CloudTrail logs to track specific API activities like S3 presigned URL access
• Enable CloudWatch anomaly detection to automatically identify unusual patterns in API behavior
• Use metric filters with pattern matching to capture relevant CloudTrail events
• Add dimensions to metrics for detailed analysis by user, account, or other attributes
• Leverage Metric Insights for SQL-like queries on custom metrics from CloudTrail data
• Use CloudWatch Logs Insights to investigate anomalies and identify unauthorized users
• Set up alarms based on anomaly detection to alert on suspicious activity

The solution provides automated monitoring of CloudTrail events with minimal manual effort, enabling security teams to detect and investigate suspicious behavior across AWS infrastructure.