Defend your voice channels against AI voice fraud
In short. Voice cloning now defeats the authentication contact centres rely on. AI Uniti is extending its synthetic-media detection into live voice channels - if this is a live risk for you, talk to us.
Voice cloning has moved from novelty to a live fraud channel. A few seconds of a person’s speech, from a webinar, an earnings call or a voicemail, is now enough to synthesise a convincing clone. That breaks the assumption contact centres, treasury teams and executives rely on: that the voice on the line belongs to the person it claims to.
The scale of the risk
- US$25 billion - estimated annual losses due to voice-based fraud (TrueCaller).
- 1 in 10 - companies have already encountered deepfake voice fraud (FS-ISAC).
- US$35 million - transferred after a deepfake phone call impersonated a company director (FS-ISAC).
- 442% - year-on-year increase in voice phishing (vishing) attacks (IBM X-Force).
Where the risk shows up
Contact-centre authentication bypass. Voice biometrics and knowledge-based verification assume a genuine human voice. A cloned voice can defeat both, opening accounts and authorising transactions.
Executive and director impersonation. A cloned voice of a senior leader is used to pressure staff into moving funds or releasing information, the phone equivalent of business email compromise.
The rise of agentic AI callers. Autonomous, human-sounding AI agents can now hold a phone conversation and work through an IVR at scale. Gartner expects 80% of common customer-service issues to be handled by agentic AI by 2029, and Deloitte projects US$40 billion in AI-enabled fraud losses in the US by 2027. The same capability that helps customers can be turned against your authentication.
How AI Uniti can help
AI Uniti’s content-authenticity detection already identifies AI-generated audio. Bringing that detection into live contact-centre voice channels is an area we are actively extending into. Our approach reads the audio itself for the traces synthetic speech leaves behind, so it does not depend on the caller cooperating or on provenance metadata.
If voice fraud is a live risk for your organisation, talk to us. We will scope how we can help, and where our detection fits alongside your existing authentication.
Frequently Asked Questions
What is deepfake voice fraud?
It is the use of AI-cloned voices to impersonate a real person, a customer, an executive or a director, in order to pass phone-based authentication, authorise a transaction, or extract information. A short audio sample is now enough to synthesise a convincing clone.
Can AI Uniti detect deepfake voice today?
AI Uniti's content-authenticity detection already identifies AI-generated audio on submitted and collected media. Bringing that detection into live contact-centre voice channels is an area we are actively extending into. If voice fraud is a live risk for you, talk to us and we will scope how we can help.
Why is voice authentication no longer enough?
Voice biometrics and knowledge-based checks assume the voice on the line is a real person. Voice cloning breaks that assumption, so authentication that trusts the voice itself can be defeated. Detecting whether the audio is synthetic is a different and now necessary signal.