Distributed Log Analysis and Security Threat Detection Framework

Build a scalable log ingestion and threat detection system that can aggregate logs from multiple enterprise systems (Kubernetes clusters, cloud providers, network devices), apply real-time machine learning models for anomaly detection, automatically generate incident response workflows, and trigger adaptive security measures. The system must handle high-volume log streams, support distributed processing, maintain low-latency threat identification, and integrate with existing SIEM and incident management platforms.