# Network-Based Deepfake Detection Ribbon Detects AI-Generated Voices During Calls By Mursal Rahman | Written with AI assistance | Published 2026-10-22 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/network-based-deepfake-detection References: [prnewswire](https://www.prnewswire.com/news-releases/ribbon-introduces-call-trust-deepfake-detection-with-network-based-voice-protection-302914743.html)  Ribbon Communications is introducing network-based [deepfake detection](https://www.trendhunter.com/trends/Google-Expanded) to help organizations identify [AI-generated voices](https://www.trendhunter.com/trends/ai-audio-api) during phone conversations without requiring additional applications. Its Call Trust Deepfake Detection solution analyzes audio directly within telecommunications networks, offering protection across connected devices while identifying synthetic speech inserted into otherwise authentic calls. The technology uses patent-pending algorithms operating through Ribbon's Session Border Controllers, which manage voice traffic between networks. It is designed to recognize manipulated audio even after transmission through different networks or audio formats. Customer laboratory trials are scheduled to begin in the first quarter of 2027. For telecommunications providers, the solution creates opportunities to offer specialized security services using existing infrastructure. Enterprises and government agencies could also strengthen defenses against [voice impersonation and potential fraud](https://www.trendhunter.com/trends/vishing-simulation). By integrating detection capabilities into network operations, Ribbon aims to address growing concerns surrounding trust in digital communications. Image Credit: Ribbon Communications ## Trend Insights (Trend Hunter) - Score: 7.4/10 - Popularity: 44% | Activity: 78% | Freshness: 100% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### What's Driving This Trend - **Network-level Voice Authentication:** Telecom-embedded verification creates new potential for fraud-resistant communication services that protect users across devices without relying on endpoint software. - **Synthetic Speech Detection:** AI-generated voice identification is becoming a critical trust layer as enterprises face rising exposure to impersonation, social engineering, and call-based fraud. - **Infrastructure-based Cybersecurity:** Security functions built into core network equipment can reshape how providers monetize existing infrastructure while delivering protection at scale. ### Who This Affects Most - **Telecommunications:** Carriers can differentiate connectivity offerings through embedded voice security services that address enterprise and government demand for trusted calling. - **Cybersecurity:** Deepfake detection expands the security market beyond data and identity protection into real-time audio integrity across communications channels. - **Government Services:** Public-sector agencies gain stronger defenses against voice impersonation risks that could compromise sensitive operations, citizen services, and interagency communications. ## Related on Trend Hunter - [Voice Call Monitoring Tools](https://www.trendhunter.com/trends/voice-call-anomaly-watch.md) - [Deepfake Detection Tools](https://www.trendhunter.com/trends/reality-defender.md) - [On-Device Deepfake Detectors](https://www.trendhunter.com/trends/deepfake-detection-model.md) - [Scam Detection Apps](https://www.trendhunter.com/trends/savi-mobile.md) - [Fraud Intelligence Tools](https://www.trendhunter.com/trends/scam-ai.md) - [Deepfake-Thwarting Calling Features](https://www.trendhunter.com/trends/fake-call-detection.md) - [AI Content Verifiers](https://www.trendhunter.com/trends/identifai.md) - [Voice Privacy Tools](https://www.trendhunter.com/trends/voice-harbor-4.md) - [Expanded Likeness Detection Tools](https://www.trendhunter.com/trends/likeness-detection.md)