Greynoise

GreyNoise is an external attack surface and internet noise intelligence platform designed to help security teams distinguish between benign background activity and targeted malicious behavior. By analyzing mass internet scanning and probing data, it enables organizations to quickly determine whether an IP address represents a true threat or just common internet noise. The primary purpose of GreyNoise is to reduce alert fatigue, streamline triage, and help security analysts focus on the most relevant and urgent incidents.

The platform continuously collects, enriches, and classifies data from a global network of sensors that observe opportunistic scanning and attack traffic. It provides context such as whether an IP is part of widespread scanning, associated with known malware, or linked to common research or benign services. GreyNoise integrates with SIEM, SOAR, EDR, and other security tools to automatically suppress low-priority alerts and enrich events with reputation and behavioral insights. Its query interface and APIs allow teams to investigate IPs at scale, correlate events, and build automation around threat prioritization.