Telling an AI-modified voice from a real person has become next to impossible. Deepfake voice fraud and AI voice cloning have changed the game for spam calls, and the technology can now convincingly mimic a bank executive, a colleague, or even a family member. At the same time, vishing, or voice phishing, is running wild, targeting consumers and businesses with alarming precision.
Today’s AI call screening works hard to filter spam patterns, flag suspicious activity, and block unwanted robocalls. It is excellent at recognizing what is being said. What it still tends to miss is who is speaking.
Voice biometrics for call centers close that gap. They turn AI call screening into a secure, identity-aware layer that businesses can build real trust on.
The new threat landscape: deepfakes and vishing
Fraudsters target call centers and consumers with AI voice cloning that produces highly convincing deepfake voices. The result is a wave of scams that are harder to spot and easier to run at scale than anything that came before.
By the numbers: Deloitte’s Center for Financial Services projects that generative-AI-enabled fraud losses in the US could reach $40 billion by 2027, up from $12.3 billion in 2023, a 32% compound annual growth rate. Voice cloning and deepfakes are a fast-growing part of that picture.
For businesses, the exposure is both financial and reputational, and it grows as vishing incidents climb. A single convincing deepfake call that slips through can cost money, trust, or both.
The regulatory push around AI voices
Regulators are not sitting on the sidelines. In February 2024, the FCC issued a Declaratory Ruling confirming that AI-generated voices count as “artificial” under the Telephone Consumer Protection Act (TCPA). In practice, that means using an AI-generated voice in a robocall requires the recipient’s prior express consent, and robocalls that use these voices without consent are illegal.
For call centers, the takeaway is that identity-aware tools like voice biometric authentication are becoming part of how you stay secure and compliant, not just a nice-to-have.
What is voice biometrics and how does it work?
Voice biometrics verify a caller’s identity using their unique vocal characteristics, including tone, pitch, cadence, and speech patterns. The system compares a live voice against a stored voiceprint and returns fast, accurate authentication, with no passwords or security questions required.
Voiceprints, not passwords
Why are voiceprints such a good fit for call center authentication? Unlike a PIN or a piece of personal data that can be stolen, a voiceprint is as unique as a fingerprint, and it is easy to set up. During enrollment, the system analyzes the caller’s voice and builds a model of how they speak. On future calls, it confirms their identity in seconds by matching the live voice against the stored voiceprint.
Active vs passive voice biometrics
There are two main approaches to speaker verification, and they trade off security friction against caller experience.
Combining voice biometrics with AI call screening
A layered front door for inbound calls
Here is what a secure, customer-friendly inbound workflow can look like when the pieces work together.
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Screen for spam and fraud. The call first passes through an AI spam filter and AI voice-fraud detection to catch known bad patterns. |
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Verify the caller. Voice biometrics confirm identity by matching the live voice against a stored voiceprint. |
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Route by risk. A risk assessment sends the call to an AI voice agent or to a live receptionist, depending on what the interaction needs. |
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Record it automatically. The authentication data flows straight into your CRM, with no manual entry to slow anyone down. |
Put together, that is a solid, layered front door for every inbound call: secure at each step, and smooth for the people you actually want to hear from.
Where Moneypenny’s AI receptionist fits in
Moneypenny’s hybrid answering service pairs the efficiency of AI with human intuition. Routine, low-risk calls can be handled by an AI receptionist, while complex or suspicious interactions escalate to a live receptionist trained to manage risk and protect customer relationships. That balance is what keeps round-the-clock coverage both secure and genuinely helpful.
Next steps: building a secure, hybrid call experience
To stay ahead of scammers using AI voice cloning, call centers need solutions that combine the strengths of AI call screening, voice biometrics, automated agents, and live receptionists. Moneypenny’s approach helps businesses protect their customers and their reputation without dropping the ball on caller experience. If you are rethinking how your calls get answered and verified, let’s talk about what a secure, transparent human-and-AI setup could look like for your business.
This article is general information, not legal advice. Voice biometrics involve collecting and processing biometric data, which may be regulated under privacy laws such as Illinois’ Biometric Information Privacy Act (BIPA) and others. For how these rules apply to your specific situation, consult qualified legal counsel.
Sources
Deloitte Center for Financial Services, “Generative AI is expected to magnify the risk of deepfakes and other fraud in banking” — deloitte.com
Federal Communications Commission, “FCC Makes AI-Generated Voices in Robocalls Illegal” (Declaratory Ruling, Feb. 8, 2024) — fcc.gov
