Deepfake fraud in financial services is no longer a theoretical risk. It is converting on live calls, in real time, against treasury teams, bank managers, and mid-market finance staff who have no reliable way to distinguish a synthetic voice from a real one. As Deloitte projects AI-driven fraud losses in the United States will reach $40 billion annually by 2027, a new detection platform called Diopter AI has emerged to close the gap that traditional identity controls cannot cover.
Diopter AI is a deepfake and AI social engineering detection platform built specifically for SMBs and mid-market teams. It detects synthetic voices, deepfake video, and live conversation manipulation across video and voice calls, evaluating every interaction in real time and delivering a verdict before a wire transfer, approval, or financial decision goes through. Unlike identity verification tools that check who is on the call, Diopter AI evaluates what is happening in the conversation itself, scoring whether the call is being shaped toward an irreversible financial ask.
The scale of the threat has shifted significantly in the past 18 months. Deepfake-related fraud losses in the United States reached $1.1 billion in 2025, tripling from $360 million the year before. Vishing attacks surged 442% over the same period. A single cloned executive voice call cleared $35 million from a mid-market bank after a manager authorized an unscheduled wire transfer from a director whose voice he believed he recognized. In a separate 2024 incident, a finance employee authorized 15 sequential wire transfers totaling $25.6 million after joining a video conference where every participant, including the CFO, was a deepfake constructed from publicly available media of the actual executives.
These are not isolated failures of individual judgment. They are structural failures of controls built for a world where voice impersonation required physical access and a face on a video call was considered reliable confirmation of identity.
Existing defenses in financial services, including voice biometrics, callback procedures, and identity reputation checks, were designed to verify who someone is at a single point in time. They were not designed to evaluate whether a conversation is being shaped toward an irreversible financial decision. A synthetic voice that passes a voice biometric check and arrives on a spoofed caller ID does not fail any of those controls. It passes all of them.
Diopter AI was built to close that gap. The platform monitors voice and video signals across every call in a financial team’s workflow, covering Microsoft Teams, Zoom, Google Meet, Webex, and VoIP infrastructure including RingCentral, 8×8, and Dialpad. It evaluates the full conversation arc as it develops, scoring each stage for authority framing, urgency, isolation, and escalation toward an irreversible ask. When both the voice signal and the conversation arc confirm an attack in progress, the platform delivers a verdict before the wire ticket is processed.
The distinction matters because not every synthetic signal is an attack. An AI-generated voice on a routine low-pressure call produces a different outcome than a cloned executive voice driving toward an unscheduled wire with no second approver on the line. The verdict accounts for both dimensions together.
Diopter AI is built specifically for SMBs and mid-market teams, the organizations that carry the most financial exposure to this type of fraud and have historically had the least access to enterprise-grade detection tooling. For managed service providers, the platform supports multi-tenant deployment, allowing a single operator to cover an entire book of clients from one console.
With AI-generated fraud projected to grow at a compound annual rate of 32% through 2027, financial teams running authorization workflows on standard video and voice channels are operating with a detection gap that identity controls alone cannot close. Diopter AI addresses that gap at the call level, before the transfer is approved.
ABOUT DIOPTER AI
Diopter AI is a temporal deepfake and AI social engineering detection platform built for SMBs and mid-market teams. The platform evaluates voice, video, and conversation signals across live calls on Microsoft Teams, Zoom, Google Meet, Webex, and VoIP infrastructure, scoring the full manipulation arc and delivering a verdict before high-stakes decisions are made. Diopter AI covers financial services, real estate, mortgage, insurance, staffing, and adjacent industries where AI social engineering is converting into measurable loss. SOC 2 Type II in progress. Learn more at diopter.io.
