Webinar Description
Key Takeaways
- Addresses automated voice threats including robocalls and social engineering call campaigns targeting contact centers
- Designed for contact center leaders, telecom engineers, and fraud prevention teams managing voice network operations
- Covers methods to quantify the financial and productivity costs of voice channel exposure
- Explores defense strategies that do not require additional headcount
About the Event
This 30-minute live webinar from RedShift Networks examines the operational and financial impact of automated voice threats on organizations with significant voice network infrastructure. The session targets a gap in enterprise security: voice channels where caller identity is typically inferred rather than verified, creating opportunities for social engineering attacks and fraudulent robocall campaigns.
Voice Security Challenges
The webinar addresses security vulnerabilities specific to voice networks and contact centers. Unlike digital channels with established identity verification protocols, voice communications often rely on assumptions about caller authenticity. This creates exposure to social engineering attacks that exploit human trust and automated systems that flood contact centers with unwanted calls, draining agent productivity and increasing operational costs.
Key Topics
- Drivers behind the increase in automated voice threats
- Security gaps in unified communications and telecom infrastructure
- Calculating organizational exposure and cost of voice threats
- Practical defense strategies for voice channels
Who Should Attend
The webinar is suited for contact center and customer experience leaders, telecom and unified communications engineers, security and fraud prevention teams, and professionals responsible for carrier billing or telecom trunk management. Organizations operating call centers, telecom services, or large customer service operations will find the content most relevant. A recording will be available for registrants unable to attend the live session.