Cloned-voice calls and deepfake video approvals are being used to authorize wire transfers. Give finance and fraud teams a fast way to verify audio and video before money moves.
Figures from Sumsub, Deloitte, FBI IC3, Pindrop, Entrust and iProov. Full data on our deepfake statistics page.
Attackers now clone an executive’s voice from seconds of public audio and stage deepfake video calls to pressure staff into approving urgent payments. The request looks and sounds legitimate, arrives through a trusted channel, and exploits urgency. Once a transfer clears, recovery is difficult.
A deepfake check on the audio or video, before the payment is actioned, turns an unverifiable gut-call into a documented signal your controls can rely on. It fits the moment where the risk is highest: the approval itself.
Cloned-voice calls and deepfake video approvals are now used to authorize wire transfers and run CEO fraud. Deepfake Detector gives finance and fraud teams a fast way to verify audio and video before money moves.
It sits alongside the controls you already run for business email compromise (BEC) and payment authorization. Pair a deepfake check with out-of-band callback verification, so a Zoom or Microsoft Teams approval, a voicemail, or a WhatsApp voice note can be confirmed as authentic rather than synthetic. In the widely reported Arup case in Hong Kong, a single deepfake video call moved US$25.6M.
Screen voicemails, call recordings and audio messages for the markers of AI voice cloning and vishing across major speech-synthesis platforms.
Check recorded Zoom and Microsoft Teams calls for deepfake and face-swap manipulation before acting on an urgent payment request.
Analysts get a verdict and confidence score in seconds, through the web app, the REST API or the Chrome extension on any page.
The same detection engine covers video, image and audio.
Cloned and synthetic speech (voice cloning and vishing) in calls, voicemails and audio messages.
Deepfake and face-swap manipulation in recorded Zoom and Microsoft Teams video calls.
AI-generated or altered invoices and documents attached to a payment request.
Upload the audio or video, paste a link, or send it through the API from your case tooling.
Forensic signal layers run in parallel, tuned to synthetic-voice and video-manipulation artifacts.
Get a clear verdict and confidence score to hold, escalate or clear the request. Files are purged after the scan.
Send media to the API and get a verdict, confidence score and the signals behind it.
A consensus verdict across multiple detection signals.
Fast enough to fit inside a live approval workflow.
Web app and Chrome extension for ad-hoc checks, plus a REST API for your fraud tooling.
Sensitive files are purged after analysis.
Everything teams ask before they roll it out. If yours isn't here, email hello@deepfakedetector.ai.
It analyzes audio for the signals associated with AI voice cloning and synthetic speech. Treat the confidence score as a decision aid within your verification process, not a sole authority.
Most files return a verdict with a confidence score in seconds, so a check fits inside a live approval workflow.
Yes. There is a web app and a Chrome extension for ad-hoc checks, plus a REST API when you want it inside your fraud tooling.
Files are purged after analysis. See the Privacy Policy for full detail before rolling it out to a finance team.
No. It adds a media-authenticity signal to the controls you already run on high-risk approvals.
Related: Executive deepfake fraud · Deepfake video-call scams · AI Voice Detector
The figures on this page are drawn from primary industry reports, not our own marketing. Full data, definitions and links are on our deepfake statistics page.
Start free, or talk to our team about a fraud-team rollout.