GreyNoise Intelligence
Real-time, verifiable intelligence on internet-wide scan and attack traffic.
IP Addresses Analyzed Daily
Hundreds of Thousands
Global Sensor Network
Thousands of sensors
Integrations
50+
About GreyNoise Intelligence
GreyNoise provides a unique cybersecurity platform focused on differentiating targeted attacks from the internet's background noise. It operates a vast, global network of passive sensors to capture and analyze internet-wide scanning and attack traffic. This data is used to classify IPs, providing context on whether an alert is from a mass, opportunistic scanner or a potentially targeted threat. Security Operations Centers (SOCs) use GreyNoise to reduce alert fatigue, prioritize vulnerabilities that are being actively exploited in the wild, and enrich incident investigations. The platform offers a free community version, enterprise-grade APIs, and integrates with major SIEM, SOAR, and TIP solutions.
Core Intelligence Features
Ip Classification
Categorizes IPs as Malicious, Benign, or Unknown based on scanning behavior.
Noise Filtering
Reduces alert volume in security tools by identifying and suppressing mass-scanning and opportunistic activity.
Vulnerability Prioritization
Provides data on which CVEs are being actively and widely exploited in the wild.
Threat Hunting
Enriches threat hunting campaigns by providing context on IP addresses and identifying anomalous behavior.
Platform & Access
Community Edition
Free, web-based access to search and query GreyNoise data.
Enterprise Api
Provides full programmatic access to GreyNoise's dataset for integration with security tools.
Integrations
Pre-built integrations for platforms like Splunk, Palo Alto Networks, CrowdStrike, and Cortex XSOAR.
Greynoise Block
Real-time, configurable blocklists to stop attackers at the network edge.