How to Properly Leverage Elasticsearch and User Behavior Analytics for API Security

The ELK stack, consisting of Elasticsearch, Kibana, and Logstash, is a powerful open-source tool for parsing and visualizing API logs, increasingly used for API security analysis as companies expose more APIs. While raw API logging is insufficient for security, a more effective approach involves User Behavior Analytics (UBA), which examines API calls collectively to identify potentially harmful patterns. This requires restructuring data from a time-centric to a user-centric model by tagging logs with user identifiers and employing distributed computing frameworks like Spark or Hadoop for map/reduce tasks. Storing user profiles daily, enriched with security metrics, allows for better detection of anomalies and misuse, such as pagination attacks. Retaining API logs for at least a year is recommended for effective forensic analysis and compliance with legal standards, despite the increased complexity in GDPR and CCPA compliance. Moesif is highlighted as a tool that simplifies API monitoring and security with built-in functionalities, offering a free trial to demonstrate its capabilities.