Anomali vs GreyNoise

About GreyNoise

GreyNoise sells real-time network threat intelligence built on traffic it observes at the network edge. GreyNoise says it watches and analyzes malicious edge traffic in real-time, so customers can block novel exploitation, catch compromised devices, and investigate critical alerts as they happen.^[3]

GreyNoise describes its platform as a single place to investigate any IP or CVE, catch threats hitting the edge, and turn intelligence into automated action. On the platform, users can investigate, enrich, and search GreyNoise's view of the whole internet, for one IP or thousands. GreyNoise says its platform returns a first-hand verdict of malicious, benign, or suspicious for any IP looked up.^[4]

GreyNoise says a global grid of thousands of sensors observes attackers first-hand. Customers can also deploy GreyNoise sensors that impersonate vulnerable software to draw out attackers, then capture and analyze every packet. GreyNoise says Session Explorer delivers packet-level forensics and full PCAP export across sensor traffic.^[3][4]

For action, GreyNoise says dynamic blocklists turn any GNQL query into a live, API-authenticated URL that any firewall or WAF can ingest. Feeds and alerts stream chosen events to a SIEM, SOAR, email, or webhook in real time. GreyNoise says 80+ integrations push its intelligence into SIEM, SOAR, TIP, firewalls, and agentic SOC tools.^[3][4][11]

GreyNoise describes several use cases. For alert reduction, GreyNoise says it reduces alert fatigue by classifying IPs as benign, malicious, or suspicious. For threat hunting, GreyNoise says it filters out opportunistic probes, benign scanners, and botnet noise to reveal statistically significant anomalies that represent targeted attacks. For vulnerability prioritization, GreyNoise says that, unlike static severity and probability scores, it supplies real-time, primary-sourced intelligence on attacks it sees in-the-wild.^[7][8][9]

GreyNoise also addresses early warning and compromised devices. GreyNoise says its research shows that spikes in traffic targeting older CVEs often precede new CVE disclosures for that same vendor within weeks. For compromised assets, GreyNoise says it uses two signals: an IP that shows up as a scanner in GreyNoise, and outbound traffic that matches a confirmed callback IP. For investigations, GreyNoise says it adds context on IPs and CVEs seen in mass scanning and exploitation campaigns, which speeds triage and reduces manual work.^[6][10][12]

GreyNoise Block is labelled as being for small and mid-sized teams. GreyNoise Block turns primary-source edge intelligence from the Global Observation Grid into precision blocklists for firewalls. GreyNoise says blocklists deploy as standard External Dynamic Lists over HTTPS and refresh every hour. GreyNoise says GreyNoise Block is ideal for organizations with less than 2,500 employees, while organizations with more than 2,500 employees or MSSPs are pointed to the full GreyNoise platform. A 14-day free trial is offered for GreyNoise Block.^[5][11]

GreyNoise also offers versions of its message for government and enterprise audiences. GreyNoise says it gives enterprise SOCs real-time edge intelligence inside the tools they already run. GreyNoise says it turns edge reconnaissance and exploitation into early warning signals for national defense operators.^{[1][2][3][5][6][7][9][10][11]}