Built-in detection rules are pre-configured rules that are designed to detect specific types of security threats, such as malware, phishing attacks, or insider threats. These rules are often based on industry-recognized threat intelligence and can be easily customized to meet an organization's specific security needs.
April 14, 2026 Purpose: Evaluate SIEM platforms that ship with pre-packaged detection content (rules, signatures, ML models) and embedded analytics (user/entity behavior analytics, anomaly detection, risk scoring). siem tools with built-in detection rules and analytics
| SIEM Tool | Pre-built Rules | Built-in UEBA | ML / Anomaly Detection | MITRE Mapping | |-----------|----------------|---------------|------------------------|----------------| | Splunk ES | ✅ (1k+) | Add-on | ✅ (MLTK) | ✅ | | Microsoft Sentinel | ✅ (200+) | ✅ (native) | ✅ (Fusion + anomalies) | ✅ | | IBM QRadar | ✅ (1k+) | Add-on | ✅ (flows & offenses) | Partial | | Exabeam Fusion | ✅ (600+) | ✅ (core) | ✅ (session modeling) | ✅ | | Securonix | ✅ (500+) | ✅ (core) | ✅ (unsupervised ML) | ✅ | | LogRhythm | ✅ (1k+) | ✅ (native) | ✅ (AI Engine) | Partial | | Sumo Logic Cloud SIEM | ✅ (200+) | ✅ (risk scoring) | ✅ (baselining) | ✅ | Built-in detection rules are pre-configured rules that are