Osquery, developed by Facebook, is an open-source tool that collects audit log events from operating systems using SQL commands to simplify querying OS-level information. Its integration with modern security information and event management (SIEM) systems involves using the Confluent Platform to channel osquery data streams into Apache Kafka, with support for operating systems like Windows, macOS, CentOS, and FreeBSD. While osquery's default Kafka producer logger plugin has limitations, a more robust solution involves using a custom Python extension with librdkafka, which enables seamless log publication to Kafka, Confluent Platform, and Confluent Cloud, bypassing the need for a Kafka connector. This setup allows creating ksqlDB streams that join data from osquery's process and open file logs, providing detailed insights into system activities via Confluent Control Center. The blog outlines the initial steps of leveraging osquery with the Confluent ecosystem, with future plans to apply machine learning for anomaly detection.