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Applying Machine Learning to Outstanding Network Asset Detection

Cover

Enterprise networks house thousands of devices (IoT devices, servers, laptops, etc.), some of which present attractive targets for cybercriminals.

The best pen testers can find these priority assets, the ones best suited to compromise or collect valuable information, and from which to launch a successful attack.

That’s why Delve, a company founded by former pen testers, has developed an open-source tool that uses advanced machine learning to automate the process by which accomplished pen testers find the most interesting assets...the “Gold Nuggets.”

In this white paper, learn about the concept of “Gold Nuggeting,” or how to dig for outstanding network devices using machine learning.

Vendor:
Delve
Posted:
08 Jul 2020
Published:
08 Jul 2020
Format:
PDF
Length:
8 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.