Protecting against threats such as fraud, intrusion or any anomalous behavior is one of the primary concerns for launching 5G. As networks are getting sophisticated and software-enabled, the ease with which a threat can be introduced and manifested is increasing. Data is THE most important weapon against these threats to the assets that the CSPs have invested in.
In order to truly identify – and prevent – network and telecommunications anomalies in the 5G era, complex rules need to be applied to an array of event data streaming in, to drive decisions and preventative actions. A unified approach to incorporate continuous machine learning into the upfront decision making is critical for this to work..
In this webinar, Volt Active Data Chief Technologist, Dheeraj Remella, explores how you can leverage data and machine learning for real-time threat prevention in the 5G era. Topics covered, include:
- How CSPs can manage monetization fraud threats in the 5G era
- The role of machine learning for real-time IoT intrusion detection
- Adhering to new 5G network protection requirements
- And more
Speaker: Dheeraj Remella, Chief Technologist, Volt Active Data