Fluency SIEM is a next-generation Security Information and Event Management platform built around five core architectural components: streaming data ingestion, real-time streaming analytics, behavioral analytics, UEBA-based case management, and AI-driven investigation workflows. The platform ingests and normalizes log data in real time using a streaming pipeline architecture, eliminating batch processing delays. It supports log formats from cloud services, firewalls, identity providers, and endpoint detection tools. Its streaming analytics engine evaluates security events inline as they arrive, enabling immediate threat detection without waiting for indexing or storage. The behavioral analytics component tracks user and entity behavior over time, linking events into behavioral chains to detect anomalies and sophisticated attacks that evade signature-based detection. Case management is built around identities and clusters of related identities rather than individual alerts, reducing ticket volume and enabling lifecycle tracking across related events. Cases are automatically created with full context, timelines, and recommended response actions. AI workflows, powered by FPL (Fluency Process Language), autonomously handle Tier 1 and Tier 2 investigation tasks including validation, scoping, and response. Pre-built workflows cover specific attack patterns such as impossible travel, email rule changes, new user creation, PowerShell activity, unknown file reputation, and lateral movement detection.