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.