Ribbon Communications, a provider of communications, IP routing, and optical networking solutions, has launched Ribbon Call Trust Deepfake Detection, a network-based solution to help companies and government agencies detect artificial intelligence-generated synthetic audio at scale as AI-generated threats proliferate.
Cybersecurity firm Crowdstrike found recently that vishing intrusions increased twofold in the first half of 2026 compared to the second half of 2025, and Gartner states that 41 percent of chief information security officers reported at least one social engineering incident involving a deepfake during an employee audio call in the previous 12 months, and 36 percent reported one during a video call.
Ribbon Call Trust Deepfake Detection operates within the network infrastructure by analyzing call streams through Ribbon Session Border Controllers (SBCs) using synthetic audio detection algorithms to identify artificial voice content, including individual synthetic segments inserted into an otherwise legitimate call, even when audio has passed through multiple codecs or networks. Detection data can also be coordinated with third-party security systems to support a broader threat response.
Ribbons Call Trust Deepfake Detection can operate on a massive scale in enterprise or service provider networks.
"AI has dramatically lowered the barrier to human impersonation. What once required sophisticated technology and extensive recordings can now be accomplished with a relatively small voice sample," said Sam Bucci, chief operating officer and executive vice president of Ribbon, in a statement. "Ribbon has a long history of enabling secure voice communications, and Ribbon Call Trust Deepfake Detection extends that expertise to help address this emerging threat directly within the network. In an era when hearing a familiar voice is no longer enough to know who is really calling, communication providers are searching for ways to restore trust in voice communications."