Call Trust® - Deepfake Detection

An AI-driven solution delivered from the core of a service provider’s network to detect and stop deepfake calls.

When a familiar voice can’t be trusted, every call carries risk

Voice calls are essential to doing business, whether it’s banking, healthcare, government, customer service, employee support, or thousands of other engagements. Phone calls are also fundamental to staying connected. From the joy of engaging with a loved one to the pain of an accident or emergency.

Deepfake technology challenges the basic assumption behind all of those interactions…trust. Trust that the voice on the call belongs to the person it claims to represent.

Modern AI tools can use a small audio sample (from social media, a recorded call, YouTube, etc.) to reproduce a person’s voice, tone, and cadence. Attackers use that deepfake voice during a live call to deceive their intended victim.

Attackers use these synthetic voices to impersonate executives, coworkers, and family members, exploiting the trust people place in a familiar voice. They use that trust to gain access to corporate networks, execute fraudulent business transactions, or defraud the most vulnerable members of our community.

Protection Delivered from Inside the Phone Network

Every call already passes through a service provider’s voice infrastructure, including session border controllers (SBC) at the edge of the voice network.
Ribbon uses the SBC as a gatekeeper to monitor every call and reject or halt deepfake calls.
Ribbon’s Call Trust – Deepfake Detection analyzes the media stream to look for indicators of deepfake audio, instructing the SBC to insert an immediate warning when a potential threat is detected.

A typical Call Trust interaction

Call enters network via SBC

Check caller number and identity

May reject call

Once the call starts

Continuously analyze call audio

Call Trust Deepfake Detection

If suspicious

Deliver a private warning

Audio or app integration

Option to end call

Consistent Threat Protection

Any phone. Any network. Any language.

Endpoints connected to voice network protection shield

Protection built into the voice network

Any endpoint

POTS, PBX, UC and contact centers

No app or API dependency

Consistent experience, no user training, no IT deployment effort

Any language

Localized audio prompts for each market

Other platform-specific tools can leave gaps in protection

The Ribbon Difference

Ribbon has decades of experience helping Communications Service Providers and Enterprises protect their networks from cyber attacks and fraud attempts. We’ve led the way in delivering Call Trust services to quarantine suspect phone numbers and users. We’ve built analytics tools to detect fraudulent behavior and delivered STIR/SHAKEN attestation. Call Trust – Deepfake Detection builds on this foundation.

Seasoned Ribbon R&D teams build our solutions, and a global services organization backs them, with extensive experience designing, deploying, and maintaining some of the world's largest communications networks.

To learn how Call Trust – Deepfake Detection can protect individuals and organizations, contact us today.

Protecting the Our Most Vulnerable Citizens

Older members of the community are the easiest targets

Globally, older members of our community hold the largest share of wealth. They are also the least prepared for these deepfake schemes. Social engineering is already effective; now it’s possible to impersonate trusted friends, family members, and caregivers.

Ribbon’s Call Trust - Deepfake Detection works transparently. Nothing to install, no training, just a simple notification that the caller is not real, with the option to disconnect the call. Ideal protection, delivered to any telephone number.