Introducing Sift: Automated Threat Hunting
Summary: GreyNoise released Sift, an experimental threat-hunting workflow that uses DS/ML/AI techniques to distill roughly 2 million daily HTTP requests down to about 50 events per day for analyst review. Sift produces a daily report that describes new traffic, assesses whether it may be a threat, and prioritizes which payloads to examine first, currently limited to HTTP traffic.
What's compelling: GreyNoise's own sensors take in about 2 million HTTP requests a day, and the tool's value rests on cutting that to roughly 50 items an analyst must actually look at - so the quality of that filter, not the volume behind it, determines whether a real attack gets seen.
Read the original at GreyNoise Blog ↗
- Topics
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