What problem does it solve?
Splunk SPL discipline guides detection engineers to craft robust, efficient searches that scale across wide datasets and multiple sourcetypes, reducing false positives and speeding investigations.
Core Features & Use Cases
- Search-time discipline: Always start with index and sourcetype, bound time with earliest/latest, and push filtering into the base search to minimize data scanned.
- Accelerated querying with CIM: Prefer tstats on accelerated CIM data models for high-volume, low-latency detections.
- Three-layer macro architecture: Layer 1: Source macros, Layer 2: Process macros, Layer 3: Filter macros to enable portable, reusable detections.
- Anomaly, Hunting, and RBA patterns: Supports anomaly detection via eventstats, hunting-style broad filters, and risk-based alerting workflows.
- ES correlation lifecycle: Notable events, suppression/throttling, and lifecycle best practices for enterprise correlation searches.
Quick Start
Begin with a baseline indexed search for a Windows Security event and iteratively layer tstats, CIM patterns, and correlation constructs.