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How does Applied Threat Intelligence work in Google SecOps?

Applied Threat Intelligence automatically applies curated threat intelligence — from Google, Mandiant, and VirusTotal — against every event ingested into Google SecOps, rather than requiring an analyst to manually check specific indicators against threat intel sources one at a time during an investigation.

flowchart TD A[Raw log ingested] --> B[Parsed and normalized into UDM] B --> C[Applied Threat Intelligence checks event indicators against curated intel] C --> D{Match found against known-bad indicators/OSINT?} D -- Yes --> E[Event labeled with threat context: OSINT associations, Safe Browsing signals, etc.] D -- No --> F[Event stored normally, no additional labeling] E --> G[Feeds into curated multi-event detection correlation] G --> H[Prioritized case surfaced for analyst triage]

As events are normalized, they're checked against curated, enriched intelligence sources — including things like Google Safe Browsing signals, known remote-access tool associations, and broader OSINT threat associations — and matching events get labeled with that context automatically, which can then feed into multi-event curated detections that correlate labeled activity across a broader pattern rather than relying on a single isolated indicator match.

This is what powers the platform's broader "detection funnel" concept: raw telemetry is first labeled with security context, then enriched with threat intelligence, then correlated via multi-event curated detections, ultimately producing a smaller, prioritized set of cases for analyst triage instead of an undifferentiated flood of raw alerts an analyst would otherwise need to manually sort through.

What does Applied Threat Intelligence check automatically as events are ingested?
What is the end result of the detection funnel Applied Threat Intelligence feeds into?

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