Explain the execution flow of Mandiant threat intelligence enrichment into detections?

Mandiant's frontline intelligence — insights gathered from actually responding to real-world breaches at other organizations — flows into Google SecOps through a defined pipeline, turning raw research findings into both passive enrichment context and active, deployable detection logic.

As Mandiant's consulting and incident-response teams identify new threat actor tactics, techniques, and procedures (TTPs) or indicators of compromise during real engagements, that knowledge is translated in two complementary ways: into curated detection rule packs that actively look for the newly identified pattern, and into enrichment/reputation data that Applied Threat Intelligence uses to automatically label matching indicators across all ingested telemetry.

Because this pipeline runs continuously as Mandiant's real-world engagements produce new findings, customers benefit from detection coverage against emerging threats without needing to author that detection logic themselves or wait for a slower, more generic threat intelligence feed to catch up — the underlying incident response work directly and continuously feeds the platform's own detection and enrichment capability.