Real-Life Use Case

Eliminate Unwanted Voice Traffic


This is a real-life Use Case of a Mutare Customer and provides a high-level summary of the scenario and business problems resolved with the Mutare Voice Traffic Filter solution.




The Client

This University Health System is a resource for health care education, innovation, scientific discovery, and excellence in patient care. With over 5,000 employees, these health system professionals serve in more than 100 affiliated hospitals, clinics, and health care facilities.

Problem Definition

As a current Mutare Voice customer, this health system realized they were receiving a significant number of inbound phone traffic that impacted both employees’ direct lines as well as patient room DIDs.

Upon determining that over 500,000 calls within a 3 month period (23% of incoming traffic) were classified as unwanted voice spam, the health system identified these calls as a potential security threat while additionally, they needed to solve for the strain on network performance.

Key Decision Points

  1. Full Enterprise-wide spam blocking
  2. Voice CAPTCHA to protect from falsely blocking legitimate callers
  3. Dynamic Robocall database alongside enterprise allow and blocklist

About Mutare Voice Traffic Filter

The Mutare Voice Traffic Filter (VTF) is enterprise-class software built to provide multiple layers of protection against unwanted traffic. VTF
creates a barrier at the network edge, ensuring that malicious and nefarious traffic does not gain access to your network. Our open architecture is designed to work seamlessly with just about every unified communications platform, including Cisco, Avaya, Mitel, Nortel and more.

Key Features

  • STIR / SHAKEN Filter
  • Proprietary Dynamic DB Filter
  • Spoof Radar Filter
  • Voice CAPTCHA Verification
  • Custom Rules Filter
  • Inbound/Outbound Traffic Manager
  • Personal Blocklist
  • Admin Dashboard
  • Admin Email Alerts
  • Embedded CDR Reporting (Call Detail Records)

Learn More about Mutare Voice Traffic Filter

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