A cloned voice can authorize a wire transfer or impersonate an executive on a live call. AI voice fraud is projected to reach $415B in losses by 2028. Deepfake Detection catches synthetic voice at the network layer, on the same platform your calls already run on.
Detection returns a real or fake verdict in under 4 seconds, fast enough to interrupt a fraudulent transaction as it happens, not just record one for the post-mortem.
Detection runs natively on the Telnyx voice pipeline, not behind three vendor hops. No middleware, no third-party routing. Just enable it on your call.
The EU Data Act and EU AI Act require transparency around AI-generated content, and US legislation is moving the same way. Detection gives you a documented audit trail for flagging synthetic voice.
Built into the Telnyx Voice API, deepfake detection gives you real-time protection against AI-generated voice fraud. No extra infrastructure, no added latency.
Real-time frame-by-frame analysis
Resemble Detect's neural model inspects audio frame by frame as the call happens, so even short inserted or altered segments are accurately flagged.
Verdict in under four seconds
Detection returns a result fast enough to act on live. Interrupt the call, escalate, or route to a human before the fraud completes.
Voice API and TeXML
Enable detection through the Voice API by adding the deepfake_detection object to your Dial or Answer command, or use it with TeXML, whichever fits your stack.
Webhook-driven results
Receive a call.deepfake_detection.result webhook with a real / fake / silence_timeout classification, a 0.0-1.0 probability score, and a consistency percentage across frames, ready to wire into your fraud logic.
Zero call impact
Detection runs in the background while the call proceeds normally. No impact on call audio quality or latency for either party.
Network-layer protection
Detection runs at the network layer on the same platform your calls already use. No third-party routing, no signal lost across vendor hops.
Real-time frame-by-frame analysis
Resemble Detect's neural model inspects audio frame by frame as the call happens, so even short inserted or altered segments are accurately flagged.
Verdict in under four seconds
Detection returns a result fast enough to act on live. Interrupt the call, escalate, or route to a human before the fraud completes.
Voice API and TeXML
Enable detection through the Voice API by adding the deepfake_detection object to your Dial or Answer command, or use it with TeXML, whichever fits your stack.
Webhook-driven results
Receive a call.deepfake_detection.result webhook with a real / fake / silence_timeout classification, a 0.0-1.0 probability score, and a consistency percentage across frames, ready to wire into your fraud logic.
Zero call impact
Detection runs in the background while the call proceeds normally. No impact on call audio quality or latency for either party.
Network-layer protection
Detection runs at the network layer on the same platform your calls already use. No third-party routing, no signal lost across vendor hops.
From your first API call to handling the webhook, these guides walk you through it.
Full API reference, parameters, and code examples for enabling deepfake detection on the Voice API and TeXML.
Payload reference for detection results, including classifications, scoring, and signature verification.
Announcement and overview of deepfake detection with Resemble Detect.