Voice Network Fraud: How to Fight Back with Automated Threat Prevention

Telecommunications fraud is real and most likely your business is facing Voice of IP attack vectors that you do not even realize. Despite this, less than 50% of enterprises have implemented any sort of strategy to address fraud in their voice infrastructure. Session Border Controllers play a critical role in addressing VoIP security, but to achieve a secure voice network that is dynamic and adaptable to ever-changing threats, you need a more complete approach to network security. You need a solution that incorporates analytics and machine learning so you can preempt issues and protect your organization regardless of what bad actors throw your way.

Watch on-demand to hear real-life examples of fraudulent attempts getting flagged and understand how analytics and machine learning can be used to mitigate them across your voice network.

0:00 Introduction to Voice Threat Protection
2:46 The Challenge of Voice Threats to an Enterprise
5:42 Do you know why VoIP traffic has increased attack vectors?
7:05 Defining Voice Threats
10:29 Two Examples of Costly Toll Fraud
12:53 Poll Question
14:09 Market Research Points to a Gap in Voice Security
15:55 How do Enterprises Plan to Secure Their Voice Networks
17:35 What are the key attributes of a voice threat prevention solution?
23:53 What is Ribbon’s offer for voice threat prevention?
27:02 Ribbon's Voice Threat Prevention + SBC for Policy Enforcement
30:31 How would a voice threat prevention deployment look in an enterprise network?
43:07 Wrap up