GreyNoise + CrowdStrike: Real-Time Edge Intelligence in Falcon Next-Gen SIEM and Charlotte Agentic SOAR

Imported from official source

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Today we’re announcing an expanded integration between GreyNoise and the CrowdStrike Falcon® platform, with new content for CrowdStrike Falcon® Next-Gen SIEM and CrowdStrike Charlotte Agentic SOAR. The expanded integration includes a purpose-built Falcon Next-Gen SIEM dashboard, correlation rules that detect allowed inbound traffic from malicious infrastructure, and SOAR playbooks that bring GreyNoise threat context into automated response workflows. Install the GreyNoise Foundry App to get started.

How CrowdStrike + GreyNoise Helps the SOC 

Every organization is under pressure as AI shortens time-to-exploitation and the volume of new exploits climbs. This is worst for organizations with large perimeter footprints, where edge devices lack the telemetry for real-time observability and alerting.

GreyNoise continuously observes internet-wide scanning and exploitation through a global sensor network, classifying the associated IPs, tagging the exploitation behavior seen, and recording the post-exploitation artifacts and command-and-control infrastructure used. That intelligence provides valuable context on the alerts generated in Falcon Next-Gen SIEM and enriches the workflows in Charlotte Agentic SOAR.

Falcon Next-Gen SIEM unifies detection and response with real-time dashboards, correlation rules, and centralized case management. Charlotte Agentic SOAR then combines structured workflows with agentic reasoning to drive machine-speed response.

Together, GreyNoise’s real-time intelligence adds valuable context inside the Falcon platform: dashboards for real-time edge observability, correlation rules to detect attacks on edge devices, and SOAR playbooks to automate triage and response.

The integration delivers three categories of content.

  • A Falcon Next-Gen SIEM dashboard visualizes successful inbound connections from GreyNoise-classified malicious IPs.
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    September 20, 2026 19:52
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