A UAE bank wired $35 million to a criminal who sounded exactly like their executive. AI voice cloning is now the primary vector for wire fraud, capital call redirection, and closing wire theft — and every existing calling app is completely blind to it.
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A UAE bank lost $35 million in a single CEO voice fraud call. A UK energy firm lost $243,000. These are documented, confirmed cases — not projections.
Capital calls, closing wires, and vendor payments are routinely authorized by voice. AI voice cloning turns every phone-authorized wire into a potential fraud vector — with no existing tool to verify the voice.
AI voice cloning attacks grew 2,400% year-over-year. No other fraud vector is growing at this rate. Every executive with public audio — earnings calls, podcasts, conferences — is a cloning target.
Organizations have extensive controls for verifying identity by email. They have almost none for phone calls. When you hear a voice you recognize, you trust it — and AI voice cloning replicates exactly that.
VeriCall gives finance teams, legal staff, and operations professionals a biometric verdict in under 1 second on every call from a known executive or partner — before any wire instruction is confirmed.
Finance teams, PE/VC operations staff, law firm bookkeepers — anyone who receives voice-authorized instructions to move money. Plus executives whose public audio provides the cloning source material.
AI voice cloning generates a convincing replica of any executive, partner, or client from 3 seconds of public audio — in real time, on a live call. Your law firm's bookkeeper, your PE ops team, your accounts payable staff: none of them have a tool to verify the voice on the other end. Neither does any existing calling app.
VeriCall runs biometric speaker verification for each of your known contacts — entirely on-device, entirely private — and tells you in under one second whether the voice authorizing that wire is real or an AI clone.
See VeriCall detect a real-time AI voice clone scam mid-call — on-device, zero latency, no cloud. This is what deepfake call protection actually looks like.
How CEO voice fraud, wire transfer scams, and closing wire theft work — and the only technology that stops them. Written by the VeriCall team.
AI voice fraud is a fast-moving space. Here are the precise definitions of the terms you need to know.
The use of machine learning to synthesize a convincing replica of a specific person's voice from a short audio sample — as little as 3 seconds. The cloned voice can speak any text in real time and is acoustically indistinguishable from the original. Used in phone scams to impersonate trusted contacts.
A phone call in which the caller's voice has been synthesized or replaced by AI to impersonate a real person. Deepfake phone calls are the primary delivery method for AI voice cloning scams, targeting victims who trust the person being impersonated.
Any technique used to make a caller sound like a different person. Includes AI voice cloning, voice conversion models, text-to-speech impersonation, and replay attacks. Distinct from caller ID spoofing, which fakes the phone number rather than the voice.
The falsification of the phone number displayed to the call recipient, making the call appear to originate from a trusted number such as a bank, government agency, or family member. Caller ID spoofing attacks have risen 340% and render the displayed number meaningless as a trust signal.
A mathematical representation of a person's unique vocal characteristics — pitch, timbre, cadence, resonance — used for speaker verification. VeriCall builds a biometric voiceprint for each contact from real calls and stores it encrypted on-device to verify callers in real time.
The process of confirming whether a voice matches a stored biometric voiceprint. Used by VeriCall to answer the question "is this the same person I have spoken to before?" in real time during a live call. Distinct from speaker recognition, which identifies who is speaking from a set of known voices.
Machine learning inference performed locally on a user's device rather than transmitted to remote servers. On-device AI enables real-time processing with complete privacy — no data leaves the device. VeriCall uses Apple's Neural Engine and CoreML to run voice clone detection entirely on-device.
The use of voice-based impersonation to psychologically manipulate a victim into taking an action — wiring money, sharing credentials, or disclosing private information. AI voice cloning has made voice social engineering dramatically more convincing and scalable. Attacks are up 890% year-over-year.
How VeriCall protects law firms, PE/VC operations, and corporate finance teams from AI voice fraud — and everything else you need to know.
VeriCall builds a biometric voiceprint for each executive, partner, or contact whose voice carries authorization authority. When a call comes in from that person, VeriCall compares the incoming voice against their stored voiceprint in under one second. A cloned voice — even one sourced from hours of earnings call recordings — fails this biometric check because it lacks the liveness signals and deep vocal characteristics of the real speaker. The finance team member sees a VOICE VERIFIED or AI DETECTED verdict before any wire instruction is confirmed.
Yes. Law firms are a primary target because they disburse large sums from trust accounts under phone authorization from partners and clients. VeriCall is installed on the phones of bookkeepers, administrators, and anyone who processes financial transactions by voice instruction. When a call arrives from a partner or client, VeriCall verifies the voice biometrically before any instruction is acted on. A cloned partner voice instructing a disbursement will fail verification — surfacing an AI DETECTED alert before the wire is processed. See the full law firm voice fraud guide.
Yes — PE and VC operations teams face specific exposure because capital calls, deal closings, and co-investment wires are routinely authorized by voice from GPs and partners whose audio is publicly available from conference appearances and podcasts. VeriCall deploys on the phones of operations and finance staff, builds voiceprints for each GP and partner, and flags cloned voices in real time before any wire instruction is confirmed. Capital call redirection — where a cloned GP voice contacts an LP with modified wire instructions — is a documented and growing attack. VeriCall is the only tool that catches it on the live call.
AI voice cloning uses machine learning to synthesize a convincing replica of a person's voice from as little as 3 seconds of audio. The resulting voice clone can be used in real-time phone calls to impersonate someone you trust — a family member, your CEO, or your bank. In 2024, over 3.1 billion deepfake voice calls were placed worldwide, costing victims $25 billion annually.
The human ear cannot reliably detect AI-generated voices — modern voice cloning is indistinguishable from a real person. VeriCall solves this by running an on-device biometric speaker verification model that compares the caller's voice against a stored voiceprint in real time, delivering a live confidence score in under one second. Red means hang up. Green means trust.
A deepfake phone call scam uses AI voice cloning to impersonate someone the victim knows and trusts. Common variants include the grandparent scam (criminals impersonate a grandchild claiming to be in trouble and needing money), CEO fraud (impersonating an executive to authorize fraudulent wire transfers), and bank impersonation. These AI voice cloning scams cost individuals and businesses $25 billion annually and are rising at 2,400% year-over-year.
VeriCall builds a biometric voiceprint for each of your contacts from real calls. The speaker verification model runs entirely on your device using Apple's Neural Engine and CoreML. When a call comes in, VeriCall compares the incoming voice against the stored voiceprint continuously and passively, surfacing a live confidence score. If the voice characteristics shift mid-conversation — a sign of AI voice cloning — you get an instant alert. No audio ever leaves your device.
Never. VeriCall is built on a zero-cloud architecture. All voice analysis, biometric storage, and AI inference happens entirely on your iPhone's Neural Engine. No audio recordings, voiceprints, or call metadata are ever transmitted to external servers. Your voice data belongs to you — and stays with you. This is a hard technical guarantee, not a privacy policy promise.
Caller ID spoofing allows anyone to display any phone number on your screen, making a scammer appear to be your bank, your doctor, or a family member. Caller ID spoofing attacks are up 340% and the name on your screen means nothing. VeriCall goes beyond caller ID — it verifies the actual voice on the call using biometric authentication, so even a perfectly spoofed number cannot fool it.
AI voice cloning scams target everyone who receives phone calls. The highest-risk groups include elderly individuals (targeted by grandparent scams), C-suite executives and finance teams (targeted by CEO fraud and business email compromise), legal and healthcare professionals (targeted by voice impersonation to authorize actions), and anyone with public audio online — social media posts, YouTube videos, podcasts — which can be used to train a voice clone. If someone trusts your voice, criminals will try to clone it.
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