Beyond our excellent visualizer and search tools, GreyNoise’s team and community have worked tirelessly to make our product work with tools you already use. Whether it’s a SIEM, OSINT, SOAR, or a host of other types of tools, GreyNoise can provide the context you need to empower your security team.
AI is changing the world of cybersecurity intelligence. GreyNoise and Microsoft Copilot for Security are leading the way.
GreyNoise is a unique solution in the threat intelligence space, providing data that helps customers make faster decisions about what to rule out and deprioritize, and timely intelligence on exploitation activity of vulnerabilities. Over 30,000 users use GreyNoise today.
GreyNoise can enrich alerts, logs, and reduce ‘noise’ being processed by your solution, delivering better performance and more reliable analysis for your customers.
Many GreyNoise customers make GreyNoise enrichment a key step in their SOAR workflows for alert investigation.
Threat Intelligence and Detection Engineering teams use GreyNoise to filter out noisy indicators of compromise from their other threat intelligence feeds in their TIP, and use it to support decision making in detection rules.
GreyNoise provides accurate and timely blocklists for internet mass exploitation, giving your customers a quieter perimeter and time to patch against emerging threats.
We provide actionable and reliable insights on what is actually being exploited in the wild. Adding GreyNoise data into your scoring and prioritization model can help your customers effectively prioritize patching.
GreyNoise is a threat intelligence platform that collects and analyzes internet-wide scan and attack data to provide context around threats. The platform can be integrated with various third-party security tools and platforms.
GreyNoise API FundamentalsWhile typical to use, usage of GreyNoise REST API should follow these fundamental rules, based of the use case or...
Learn how to use the GreyNoise Community API, which allows users to access information about IP addresses associated with scanners, bots, and other types of suspicious activity.
By boB Rudis
GreyNoise is a powerful cybersecurity solution that provides valuable context on internet-wide scan and attack data. By collecting and analyzing this data, we help organizations distinguish between targeted attacks and background noise, reducing false positives and improving security operations efficiency and overall security outcomes for every organization that uses both our Visualizer or API.
By The GreyNoise Team
We discuss the integration of GreyNoise with Palo Alto Networks' XSOAR platform, which allows security teams to automate and streamline their incident response workflows. The integration enables XSOAR users to enrich their security alerts with GreyNoise context and automate response actions based on the severity of the threat.
By Dan Maier
We describe how Hurricane Labs, a cybersecurity firm, integrated GreyNoise into their Splunk and Phantom environments to reduce false positive alerts and improve their incident response process. The integration enables Hurricane Labs to correlate threat intelligence from GreyNoise with their own data sources and automate response actions.
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