Real-Time AI Voice Detection for Call Centers
Call centers are one of the easiest places to run a voice scam. A stolen recording, a few seconds of sample audio, and an attacker can pass themselves off as a customer, an executive, or your own support line. UncovAI joins live Zoom and Microsoft Teams calls, listens to the audio stream as it happens, and flags synthetic speech before the call ends — no change to how agents work.
Where AI voice fraud hits call centers
Voice is still treated as proof of identity in most contact-center workflows. That assumption is what attackers are exploiting.
Account takeover
A cloned voice pulled from social media or a leaked recording is used to pass a voice-based identity check during account recovery.
CEO and vendor fraud
A faked executive voice authorizes a wire transfer or an urgent change to payment details over a call.
Synthetic complaints
Generated audio is used to file fraudulent disputes, refund claims, or insurance-adjacent complaints.
Vishing at scale
Cloned voices power outbound scam campaigns that mimic a company's real support line to extract credentials from customers.
Probing voice biometrics
Repeated synthetic calls are used to test or bypass voice-authentication vendors over time.
How detection works, step by step
- The bot joins the call. UncovAI deploys as a Zoom or Microsoft Teams participant when activated — no plugin or install required on the caller's side.
- Audio is analyzed continuously. The bot listens throughout the call, not just at the start, which catches voices that open authentic and switch to synthetic partway through.
- Every pass returns a confidence score. Agents or supervisors see a live probability of AI generation or voice cloning as the call runs.
- Monitoring stays in the background. Nothing about call handling changes, and the caller doesn't need to do anything differently.
- Flagged calls escalate on your terms. Cross a configurable threshold and the call can trigger a supervisor alert, a step-up verification step, or a hold for manual review.
This is the same detection engine behind UncovAI's broader real-time meeting protection, adapted for support and account-verification calls rather than internal meetings.
Where it fits in your stack
Why this matters now
Voice cloning tools need only a few seconds of sample audio to produce something usable. That's a low bar, and it's why cloned-voice fraud has stopped being a hypothetical and started showing up in real account-takeover and executive-fraud cases. Most legacy IVR and agent-verification workflows still treat a familiar-sounding voice as sufficient proof of identity — which is exactly the gap this kind of AI-driven scam is built to exploit.
Voice biometrics answer "who is speaking." They don't answer "is this voice even real." Against a good clone, those are two different questions — and only one of them is being checked in most call centers today.
Frequently asked questions
Can call centers detect AI-cloned voices in real time?
Yes. UncovAI joins Zoom and Microsoft Teams calls as a bot and analyzes the audio stream continuously during the call, returning a confidence score rather than requiring a recording to be reviewed after the fact.
Does real-time voice deepfake detection slow down or interrupt calls?
No. Detection runs passively in the background. Agents see a confidence indicator without any change to how the call is handled.
What happens when a call is flagged as likely synthetic?
Organizations set their own threshold and response — typically a supervisor alert, a step-up identity check, or routing the call to manual review.
Does this replace voice biometric authentication?
No — it's a complementary layer. Voice biometrics confirm who is speaking; deepfake detection confirms whether the voice itself is synthetic, which biometric matching alone can miss against a strong clone.
See it on your next call
UncovAI runs alongside your existing Zoom or Teams setup and starts scoring calls the moment it's activated.
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