Artificial Intelligence, Real Intel: How Grey Noise is Leveraging AI Advances to Improve Intelligence for Discovery, Identification, and Interpretation | Grey Noise Blog
Summary: GreyNoise described its AI projects, including Sift, a tool that runs daily to process data from its global sensor fleet and identify novel behavior, traffic, and attacks, and said the same techniques can be applied to sensor subsets to produce intelligence tailored to a specific organization's own network. GreyNoise also said it is a partner in the Microsoft Copilot for Security Partner Private Preview, with a plug-in that lets free and enterprise users pull GreyNoise insights through natural language prompts in the Copilot interface.
What you should know: GreyNoise frames the value as reducing triage overhead and accelerating attack identification, and it is extending the same analysis it runs on its global sensor fleet to data from individual organizations' networks - which puts a vendor's research pipeline inside your internal security process.
Read the original at GreyNoise Blog ↗
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