Love our visualizer, but want to integrate GreyNoise into a product or automate with a custom script? GreyNoise provides a comprehensive set of APIs for both our community and commercial customers, plus a supported Python SDK to streamline development.
Before you get coding, check out our integrations - we support many of these use cases with your security tools out of the box!
Automate lookup of IP addresses in your SIEM and SOAR alerts to identify sources of ‘noise’ (such as benign scanners, or common business services). With GreyNoise, you can deprioritize benign activity and make decisions faster.
Don’t know what vulns to prioritize patching? Pull in GreyNoise tag and trend data into your VM solutions to understand which vulnerabilities are actively being exploited, so you can remediate more effectively.
Digging through a bunch of logs and artifacts, and not sure where the malicious behavior might be? Use GreyNoise to automatically annotate common business activity and scan activity, so you can hone in on the targeted threats faster.
The Community API is a free resource to members to allow for quick IP lookups in the GreyNoise datasets.
Use our enterprise API to perform higher volume, contextualized lookups - and automate other GreyNoise enterprise features (such as IP Timeline).
GreyNoise wants to make it as easy as possible to integrate into your favorite security tools. Check out the list of tools with integrations today, but we are always looking to expand.
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.
GreyNoise API Fundamentals
While typical to use, usage of GreyNoise REST API should follow these fundamental rules, based of the use case or...
The GreyNoise Python SDK is an abstract python library built on top of the GreyNoise API. It is the preferred library for interactions with the GreyNoise API for implementing integrations and/or tools.
By Andrew Morris
Learn various use cases of GreyNoise, such as detecting Twitter bots and identifying fake followers, and provides step-by-step instructions on how to use GreyNoise to perform these tasks.
By Brad Chiappetta
At GreyNoise, we collect, analyze and label data on IPs that saturate security tools with noise. This unique perspective helps analysts waste less time on irrelevant or harmless activity, and spend more time focused on targeted and emerging threats.
By Andrew Askins
The benefits of having a paid plan for GreyNoise, including access to more historical data, more API requests per minute, and the ability to customize filters to better fit specific use cases. It also highlights the benefits leading to more efficient and effective analysis.