siem-rules

To write SIEM detection rules mapped to MITRE ATT&CK v16, specify the platform (KQL or SPL), the target technique ID, and your available log tables. The generated query aligns detection logic with the required technique for reliable security monitoring and auditability.

Tune noisy Splunk SPL detections by applying baselining, suppression, and scheduling methodologies. Adjusting alert thresholds and aggregation logic refines detection patterns, reducing false positives and ensuring the rules remain effective over their lifecycle.

Yes, Sigma-to-platform review is supported. The process analyzes Sigma rule logic and translates it into production-ready KQL queries for Microsoft Sentinel, ensuring the detection pattern, entity mapping, and ATT&CK technique alignment are correctly preserved.

Correlation rule design in SIEM uses time windows and aggregation to group related events across log tables. By defining specific detection patterns and entity relationships, the rule identifies sequential or concurrent suspicious activities that single-event alerts would miss.

Yes, you must provide the specific log table names and expected false-positive constraints available in your environment. This ensures the generated KQL detection queries reference correct schema entities and include practical suppression logic for production use.

SIEM detection rules fail during prompt-injection-safe handling when untrusted log data contains malicious prompt sequences. The generation process applies safe handling methodologies to isolate external inputs, ensuring the produced query logic remains uncompromised and structurally valid.