sentinelone-singularity

Author SentinelOne STAR Custom Logic rules by defining on-endpoint behavioral criteria across site, account, or global scopes, then attaching MITRE mapping metadata to align detections with MDR workflows.

Build DVQL queries for SentinelOne Deep Visibility by constructing endpoint hunting searches that leverage Storyline IDs to trace causal event sequences and support MDR threat investigations.

Yes, you can configure Singularity Data Lake (SDL) alerts and PowerQuery analytics to query multi-source data, enabling cross-platform detection logic within your MDR operational workflows.

SentinelOne AI Engine policy guidance requires explicit separation from engine logic and clearly defined exclusion handling to reduce false positives and ensure accurate on-endpoint behavioral detections.

Yes, aligning detection content with MITRE mappings and Storyline IDs ensures causal storytelling and standardized threat classification across STAR Custom Logic, DVQL, and SDL analytics components.

STAR Custom Logic scopes in SentinelOne are limited to site, account, and global tiers, requiring careful exclusion documentation and cross-platform entity alignment to avoid detection gaps and false positives.