This resource is no longer available
Today’s security operations centers (SOCs) face a growing number of challenges: more data, more sophisticated attacks vectors, fewer resources, and a complex ecosystem of security tools.
To address these challenges, organizations are embracing anomaly detection and machine learning to improve their threat detection capabilities.
The following white paper provides an overview of machine learning and anomaly detection, as well as:
- Selecting the right tool for the job
- Best practices for machine learning in the SOC
- And more