There is a massive amount of traffic bouncing around the internet. Most of it is harmless, but some traffic hides malicious activity. With our global network of internet sensors, GreyNoise sees roughly two million HTTP requests (along with tens of millions of events from other protocols) every day. Manually analyzing HTTP requests is tedious and stressful—analyzing millions is unmanageable. It’s a hunt for hundreds of needles in a world-wide, multi-megabyte haystack, every day.
Introducing Sift. Sift is a GreyNoise Intelligence application that uses advanced AI/ML processes on the daily stream of HTTP payload data seen by the GreyNoise sensor fleet.
Sift presents users with potential attacks or suspicious activity, accompanied by contextual explanations of why our AI/ML identifies the activity as suspicious, helping Threat Intelligence Analysts and Detection Engineers stay ahead of emerging threats.
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