Sift: How to Leverage the Power of AI/ML to Improve Threat Analysis

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About This Webinar

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.

Watch to learn:

• How Sift Works: Explore the proprietary AI/ML processes driving Sift's analysis.
• Sift Use Cases: See real-world scenarios where Sift plays a crucial role in threat detection.
• Benefits of Sift: Learn how Sift streamlines Threat Intelligence and Detection.

Want to try Sift for yourself? Go to https://sift.labs.greynoise.io/