Voice and audio
The call is the attack surface. Answer it knowing who is speaking.
What is voice clone detection?
Voice clone detection is the analysis of speech to decide whether it came from a person or from a model imitating one. Raid AI scores the acoustic signal itself, its frequency distribution and vocal timing, so a cloned executive is caught on a compressed phone line, during the call, with a confidence score the listener can act on.
A usable voice clone now takes seconds of reference audio, and every executive who has spoken on a podcast, an earnings call or a conference stage has already supplied it. The attack does not need to be perfect, only good enough to survive a phone call that the recipient was not expecting to scrutinise.
Raid AI analyses the acoustic signal rather than the story it tells. Synthetic speech carries artefacts in its frequency distribution and vocal timing that survive compression and a bad connection, which is what makes detection possible on a real phone line rather than only on a clean studio file.
The same engine runs on live call audio and on uploaded recordings, so a verdict during the call and a verdict during the investigation afterwards come from the same place and agree with each other.
The attacks this answers
- Cloned voices of a specific person, built from public audio
- Fully synthetic speech from a text to speech model
- Replayed or spliced audio presented as live
- Voice used to authorise a payment, a reset or an approval
From submission to verdict
Capture
Live call audio, an uploaded file, a forwarded voice note, or a link.
Analyse
Frequency, timing and vocal artefacts are scored against synthetic speech signatures.
Return a verdict
A judgement with a confidence score, fast enough to act on while the call is still open.
Keep or discard the media
With zero retention the recording is dropped once the verdict is out. Otherwise it is kept for the window you set.
At a glance
- Live analysis
- Under 50 ms, during the call
- Batch upload
- Yes, results export as they finish
- Also returns
- Transcription and intelligence analysis
- Retention
- Zero, or a window you set
Questions about Voice and audio
Does it work on a normal phone call?
Yes. The artefacts synthetic speech carries survive compression and a bad connection, which is what makes detection possible on a real phone line rather than only on a clean studio file. Test it on your own call recordings, at the quality your traffic actually has.
Does it work in Arabic?
Yes. Detection covers over 120 languages, and for Arabic it is the best deepfake detection model in the world: it placed first on Track 1 of ArA-DF 2026, the first shared task on Arabic audio deepfake detection, which scores systems on dialects and speakers held out of training. Test in the dialect your customers speak, not the broadcast standard.
How fast is the verdict?
Under 50 milliseconds on audio, which is fast enough to flag a synthetic voice while the call is still open rather than after the transfer has cleared.
What happens to the recording afterwards?
That is your choice. With zero retention the recording is analysed and discarded once the verdict is returned. Otherwise it is kept for a window you set, 30 days by default. Enterprise tenants can keep the record inside their own infrastructure instead.