How to Mitigate Voice Fraud Before it Disrupts Your Enterprise Network

Presented by

Robin Gareiss, CEO & Principal Research Analyst, Metrigy

About this talk

Analytics and network visibility address robocalls, fraud, TDoS, and more Only 54.2% of organizations have a comprehensive security strategy for their contact centers, and another 35.2% have plans or evaluation underway. Technology options are plentiful to support any number of security strategies. With employees and agents working remotely at the majority of companies, network-based security strategies are more effective at preventing voice fraud. By stopping fraud before it reaches the enterprise, organizations prevent traffic from chewing up resources—including employees at large, IVRs, contact center agent time, and network capacity. Join Robin Gareiss, Metrigy CEO and principal analyst, and Dan Teichman, Director, Solutions Marketing, and Shambhu Rai, Principal Product Manager at Ribbon to learn about how to improve enterprise voice security, backed by real-world business metrics. We will address the following: - What security methods are companies deploying in their contact centers? Should you manage it internally or outsource it to a Managed Service Provider? - What is the value of stopping robocalls, fraud and TDoS attacks before they reach the internal enterprise network? - How do SBCs, analytics, and SIP trunking play a role in securing contact centers and addressing UC voice security problems? - How can machine learning continuously improve security and operational efficiency?

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Metrigy is an innovative research and strategic advisory firm that analyzes enterprise success metrics to advise companies on their technology transformation strategies. Founded by Robin Gareiss and Irwin Lazar, both renowned technology analysts and content developers, Metrigy focuses on some of the coolest and most interesting technologies: Digital transformation and digital workplace, Unified Communications & Collaboration (UCC), Customer Experience (CX) and contact center, Artificial intelligence and analytics.