GreyNoise provides real-time threat intelligence by analyzing internet scanning traffic through a global network of proprietary sensors, effectively distinguishing between benign and malicious activity. This enables security teams to prioritize critical threats and reduce alert fatigue, enhancing their response capabilities against potential cyber attacks.
Funding
$20.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Security teams are overwhelmed by the sheer volume of internet scanning traffic, making it difficult to distinguish between benign activity and genuine threats. This noise leads to alert fatigue, delaying responses to critical threats and increasing the risk of successful cyberattacks.
Solution
GreyNoise provides real-time threat intelligence by analyzing internet-wide scanning traffic, enabling security teams to differentiate between harmless background noise and malicious activity. By deploying a global network of proprietary sensors, GreyNoise identifies and tags IPs involved in mass scanning, vulnerability exploitation attempts, and other suspicious behaviors. This allows security teams to filter out irrelevant alerts, prioritize critical threats, and accelerate threat hunting. GreyNoise acts as a "patient zero," sharing intelligence on emerging threats to prevent repeat attacks and empower proactive defense.
Target Audience
GreyNoise is designed for security operations teams, vulnerability management teams, and threat hunting teams seeking to reduce noise and focus on critical threats.
Features
- Real-time analysis of internet scanning traffic via a global sensor network
- Identification and tagging of IPs involved in benign and malicious activities
- Differentiation between opportunistic scans and targeted exploitation attempts
- Prioritization of critical threats and reduction of alert fatigue
- Full packet capture of sensor interactions for verifiable threat intelligence
- Mimicked personas to provide data tailored to specific infrastructure
- Integrations with SIEM, SOAR, and TIP platforms for streamlined workflows
- Labs API for early access to experimental data and emerging threat insights