ML approaches to network security: Batch vs. streaming

As threat actors’ tactics and techniques continuously evolve, and network traffic growth continues to grow at a rapid pace, how can streaming machine learning (ML) algorithms help you keep up to these challenges effectively and efficiently?

This white paper unpacks:

How streaming ML differs from other approaches
3 key resources that are need for NOC and SOC groups to be successful with ML
And more

Read on to learn how ThreatEye aims to utilize a small resource footprint while still exceeding the performance requirements of the highest bandwidth networks.

Vendor:: LiveAction
Posted:: Apr 19, 2022
Published:: Apr 19, 2022
Format:: HTML
Type:: White Paper

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