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DEFEATED
For you / Content checks

It sounds familiar.Is the request genuine?

A voice can sound like someone you know. That alone is not a reason to send money or share information.

See how it works
Voice Authenticity

In plain English.

Voice authenticity asks whether a recording may have been generated or altered. It is a different question from whether two recordings sound like the same speaker.

A situation
worth a second look.

A familiar-sounding caller asks you to approve an urgent payment.

Defeated / content checkGuided example

“Can you send that payment now?”

Illustrative transcript · no audio analysis
urgent-request.m4a
See what a useful answer looks like.

A familiar voice. An unusual request.

A signal, the reason behind it, and a practical next step. This guided example uses fixed sample findings, not a live detection model.

A clearer next step.

Pause. Call back on a number you already know before acting on the request.

Inspect your own content
For technical teams: explore the method

Illustrative product views and fixed sample findings. Advanced analysis requires approved services and suitable reference data.

Voice AuthenticityIllustrative product view
00:04.2CHANNEL + SYNTHESIS LANES

Channel artifacts limit the comparison; request the original recording.

Speech span

Comparable speech is present in the selected interval.

Voice evidence does not prove who authored a message, who controlled a device, or whether a statement is true.

How the review works

1Preserve audio

Hash the exact recording and retain container details.

2Select spans

Exclude silence, overlap, and low-quality regions.

3Separate lanes

Keep speaker, synthesis, splice, and channel evidence distinct.

4State limits

Explain what another recording could resolve.

Explore further

Voiceprint Analysis

The speaker and the recording stay separate

Financial Fraud

Follow the deception across channels

Decision Room

Human authority stays visible