Solutions — Contact-centre voice

Cloned voices already clear knowledge-based checks.

A few seconds of audio is enough to clone a customer or an executive. Deepfaic flags synthetic speech on live and recorded calls, with detectors trained on the regional languages and accents that Western tools miss.

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What is getting through

Voice cloning tools produce natural speech in regional languages and accents that most detectors were never trained on.
Agents cannot hear the difference, and knowledge-based questions can be answered from breached data.
Callbacks and account changes approved on voice alone become the path of least resistance.
Recorded calls hold evidence of attacks that nobody has reviewed.

How Deepfaic handles it

Score speech as the call runs

Audio is analysed in short windows so an agent or a workflow can be alerted while the caller is still on the line.

Trained on the region

Detectors are trained on real and synthetic voices in the languages and accents your customers use, not only on English datasets.

Works alongside voice biometrics

Deepfaic answers a different question from speaker verification: not who is speaking, but whether the speech is synthetic.

Review the archive

Recorded calls can be scanned in batch to surface past attacks and to tune the profile on your own examples.

What you get

A synthetic-speech verdict per call, with timestamps.
Alerts into your contact-centre platform or SIEM.
Coverage of live calls and the recorded archive.
Audio that never leaves your telephony environment.

Where it runs

Runs on-premises, in your cloud tenancy, in the Deepfaic cloud or as a sealed appliance. API-first, called from the systems you already run, with no change to the customer journey.

Built for

Next step

Talk to us about voice.

Tell us your telephony platform and the languages you serve. We will explain how detection fits beside your existing verification.

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