GreyNoise

GreyNoise is a cybersecurity platform that analyzes and categorizes internet-wide scanning activity to help security professionals distinguish between random scans and targeted threats.

Network Intelligence Alert Filtering Threat Context Threat Hunting

Overview

GreyNoise is a security intelligence platform that collects and analyzes internet-wide scanning and attack activity. The platform provides context on who is scanning the internet, distinguishing between benign scanners (security researchers, Shodan, Censys) and malicious actors. GreyNoise helps security teams reduce alert fatigue by filtering out harmless scanning noise and focusing on targeted threats. It features a web interface, REST API, and threat intelligence feeds, making it valuable for SOC teams, threat hunters, and incident responders.

Primary Use Cases

✔ Filtering out non-malicious scanning traffic from security alerts to reduce false positives and focus on real threats.

✔ Investigating suspicious IP addresses to determine if they are associated with known scanning campaigns or malicious activity.

✔ Enriching security event data with intelligence on scanning behavior to improve incident prioritization and response.

Frequently Asked Questions

GreyNoise is a security intelligence platform that collects and analyzes internet-wide scanning and attack activity. It works by deploying sensors across the internet to capture and categorize scanning behavior, distinguishing between benign scanners (such as security researchers and legitimate services) and malicious actors, providing security teams with actionable intelligence on who is scanning their networks.

Unlike traditional threat intelligence platforms that focus on known malicious IPs and indicators, GreyNoise specializes in identifying and categorizing internet-wide scanning activity. It helps security teams distinguish between random, harmless scanners and targeted threats, reducing alert fatigue and enabling more effective prioritization of real security incidents.

Yes, GreyNoise offers a comprehensive REST API that allows security professionals to integrate scanning intelligence into their workflows. The API provides endpoints for querying IP reputation, retrieving scanning behavior data, accessing threat intelligence feeds, and performing bulk lookups. API access is available through various pricing tiers including free, professional, and enterprise plans.

GreyNoise reduces alert fatigue by filtering out internet-wide scanning noise that generates false positives in security monitoring systems. By identifying and labeling benign scanners, the platform allows SOC teams to focus on relevant, targeted threats rather than spending time investigating routine scanning activity. This significantly improves security team efficiency and incident response effectiveness.

GreyNoise integrates with various security tools and platforms including SIEM systems, SOAR platforms, threat intelligence platforms, and firewalls. Native integrations are available for Splunk, Elastic, Palo Alto Networks, and other major security vendors. The platform also supports custom integrations through its REST API and threat intelligence feed exports.