Cloud paradigms bring new attacks, and new data sources for threat hunting and forensics. Traditional tools are often ill equipped to deal with the rapid changes in cloud deployments. This makes it impossible to address vital use cases that involve threat hunting, investigations, or custom tools and models. In this webcast we will cover how modern security teams use machine learning to enrich both network traffic and logs with attributes specifically for cloud environments. Giving them the tools needed for comprehensive threat hunting.
In this webcast we will discuss:
- How cloud telemetry differs from internal network
- How attackers leverage new attack vectors in the cloud
- Why traditional tools are unable to adapt to cloud deployments
- How Vectra empowers security professionals and ties in to their existing workflows