Ribbon Introduces Call Trust Deepfake Detection with Network-Based Voice Protection
Customer lab trials are expected in 1Q 2027, putting the next disclosed testing milestone in the following year.
Sentiment and the balance of points
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Rhea-AI Summary
Ribbon Communications (RBBN) announced Call Trust Deepfake Detection, a network-based solution designed to identify AI-generated synthetic audio in voice calls. Ribbon expects customer lab trials to begin in 1Q 2027.
The solution analyzes call streams through Ribbon Session Border Controllers, equipment used to secure voice communications. It is designed to detect synthetic segments within otherwise legitimate calls without requiring users to install an application. Detection data can also be coordinated with third-party security systems to support a broader threat response.
Positive
- Minor point. Forward-looking: it has not happened yet and may not happen.Customer lab trials of Call Trust Deepfake Detection are expected to begin in 1Q 2027.
Negative
- None.
Details
Market move: RBBN -5.32% vs previous close. Call Trust product launch
On Oct 21, the day this news came out, the latest delayed price for RBBN is 5.32% below the previous close. Our momentum scanner has recorded 5 alerts for this stock so far that day. The latest delayed price is $1.33.
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Key Figures
- Customer lab trial start
- 1Q 2027
- Trials of the deepfake detection solution are expected to begin
Key Terms
session border controllers technical
codecs technical
vishing technical
social engineering technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
Ribbon Call Trust® Deepfake Detection helps Service Providers and Enterprises combat AI-generated synthetic voice threats and deepen trust in voice communications
Customer lab trials of this unique, network-based synthetic audio detection solution are expected to begin in 1Q 2027. Ribbon's Call Trust portfolio leverages Ribbon's industry-leading Session Border Controllers installed base, and decades of experience in secure real time communication.
AI makes it increasingly easy for bad actors to produce convincing voice imitations and to impersonate colleagues, customers, public figures and family members. The result is an erosion of trust in voice communication, as a call that appears to come from a known entity and sounds authentic may not be. Unlike suspicious emails or messages, voice calls unfold in real time, leaving little opportunity to stop and reflect before responding.
The rise of agentic AI has led to the explosive growth of this threat, a trend that is expected to continue. According to cybersecurity firm Crowdstrike, Vishing intrusions increased 2x in the first half of 2026 compared to the second half of 2025, and leading global research and advisory company Gartner states that
Ribbon Call Trust Deepfake Detection operates within the network infrastructure by analyzing call streams through Ribbon Session Border Controllers (SBCs) using patent-pending synthetic audio detection algorithms. The solution is designed 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.
This unique network-level technology enables protection across all end-points without requiring users to install an application or use a screen-based device. Detection data can also be coordinated with third-party security systems to support a broader threat response.
Ribbons Call Trust Deepfake Detection leverages existing SBC capabilities and can operate on a massive scale in enterprise or service provider networks with market-leading efficiency and reliability. This makes for outstanding economics, maximum detection rates, and a seamless fit into existing networking infrastructure.
"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, COO and EVP at Ribbon. "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."
Ribbon Call Trust Deepfake Detection positions network operators at the center of restoring trust in voice communications, giving them an opportunity to protect customers from emerging threats while differentiating their offerings through network-based security services. And Enterprise IT organizations have a new tool to increase protection against synthetic audio, preventing what could become a costly security breach.
About Ribbon
Ribbon Communications (Nasdaq: RBBN) is a global provider of voice communications software, IP routing, and optical networking to mobile and wireline service providers, enterprises, critical infrastructure and defense sectors. We support our customers' Path to Autonomous Networks by leveraging the latest AIOps automation platforms and Agentic AI technologies, helping them deliver better customer experiences, reduce operational costs, and achieve sustainable growth. To learn more about Ribbon, visit rbbn.com.
Important Information Regarding Forward-Looking Statements
The information in this release contains forward-looking statements regarding future events that involve risks and uncertainties. All statements other than statements of historical facts contained in this release, including those regarding the expected benefits from use of Ribbon Communication's products, are forward-looking statements. The actual results of Ribbon Communications may differ materially from those contemplated by the forward-looking statements. For further information regarding risks and uncertainties associated with Ribbon Communications' business, please refer to the "Risk Factors" section of Ribbon Communications' most recent annual or quarterly report filed with the SEC. Any forward-looking statements represent Ribbon Communications' views only as of the date on which such statement is made and should not be relied upon as representing Ribbon Communications' views as of any subsequent date. While Ribbon Communications may elect to update forward-looking statements at some point, Ribbon Communications specifically disclaims any obligation to do so.
Investor Contact
+1 (978) 614-8050
ir@rbbn.com
Media Contact
Catherine Berthier
+1 (646) 741-1974
cberthier@rbbn.com
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SOURCE Ribbon Communications Inc.
FAQ
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When will Ribbon begin customer trials of Call Trust Deepfake Detection?
Ribbon expects customer lab trials of Call Trust Deepfake Detection to begin in 1Q 2027.