{"id":122,"date":"2026-05-27T10:02:50","date_gmt":"2026-05-27T10:02:50","guid":{"rendered":"https:\/\/diopter.ai\/blog\/?page_id=122"},"modified":"2026-06-08T07:49:39","modified_gmt":"2026-06-08T07:49:39","slug":"frequently-asked-questions","status":"publish","type":"page","link":"https:\/\/diopter.ai\/blog\/frequently-asked-questions\/","title":{"rendered":"Frequently Asked Questions"},"content":{"rendered":"\n<style>\n.dfaq{font-family:-apple-system,BlinkMacSystemFont,'Inter','Segoe UI',sans-serif;color:#13162F;line-height:1.6;-webkit-font-smoothing:antialiased;background:#F1F3F5}\n.dfaq *{box-sizing:border-box}\n\/* BREADCRUMB *\/\n.dfaq .breadcrumb{background:#0D1026;padding:10px 32px;display:flex;align-items:center;gap:6px}\n.dfaq .breadcrumb a{font-size:.72rem;font-weight:500;color:rgba(255,255,255,.4);text-decoration:none;transition:color .15s}\n.dfaq .breadcrumb a:hover{color:rgba(255,255,255,.7)}\n.dfaq .breadcrumb-sep{font-size:.65rem;color:rgba(255,255,255,.2)}\n.dfaq 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class=\"hero\">\n  <div class=\"eyebrow\"><i><\/i>Knowledge base<\/div>\n  <h1>Frequently asked questions<\/h1>\n  <p>Everything you need to know about deepfake detection, AI social engineering, and how Diopter protects your organization in real time.<\/p>\n  <div class=\"search-wrap\">\n    <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"11\" cy=\"11\" r=\"8\"\/><path d=\"m21 21-4.35-4.35\"\/><\/svg>\n    <input class=\"search-input\" id=\"dfaqSearch\" type=\"search\" placeholder=\"Search questions\u2026\" autocomplete=\"off\" aria-label=\"Search FAQs\">\n  <\/div>\n  <span class=\"search-count\" id=\"dfaqCount\"><\/span>\n<\/div>\n\n<div class=\"wrap\">\n  <aside class=\"sidebar\">\n    <div class=\"sidebar-label\">Jump to section<\/div>\n    <nav class=\"snav\" id=\"dfaqNav\">\n      <a href=\"#about\" class=\"active\">About Diopter<\/a>\n      <a href=\"#basics\">Deepfake basics<\/a>\n      <a href=\"#voice\">Voice &amp; audio<\/a>\n      <a href=\"#social\">Social engineering<\/a>\n      <a href=\"#detection\">Detection &amp; technology<\/a>\n      <a href=\"#industry\">Industry threats<\/a>\n      <a href=\"#csuite\">Executive protection<\/a>\n      <a href=\"#compliance\">Risk &amp; compliance<\/a>\n      <a href=\"#support\">Support &amp; success<\/a>\n    <\/nav>\n  <\/aside>\n\n  <main class=\"content\">\n\n    <!-- SUPPORT CALLOUT -->\n    <div class=\"icta support-callout\">\n      <p><strong>Customer Support<\/strong><\/p>\n      <p>Customers can contact our support team for platform questions, investigations, integrations, account administration, and security-related inquiries.<\/p>\n      <p style=\"margin-top:8px\">Support: <a href=\"mailto:support@diopter.ai\">support@diopter.ai<\/a><\/p>\n    <\/div>\n\n    <!-- NO RESULTS MESSAGE -->\n    <div class=\"no-results\" id=\"dfaqNoResults\">No questions match your search. Try different keywords.<\/div>\n\n    <!-- ABOUT DIOPTER -->\n    <section class=\"faq-section\" id=\"about\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>About Diopter<\/h2><span class=\"sec-count\">6 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">What is Diopter AI?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter AI is a deepfake and AI social engineering detection platform. It analyzes audio and video streams in real time to identify synthetic media, including voice clones, face swaps, and AI-generated identities, before they can be used to execute fraud. Diopter evaluates each call or session as a structured conversation event, not just a single audio or video artifact. <a href=\"https:\/\/diopter.ai\">Learn more about the platform<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What does Diopter AI detect?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter detects synthetic voice calls, deepfake video, AI-generated identities, and social engineering attack patterns. The platform evaluates audio and video streams for manipulation signals such as vocal pattern anomalies, facial coherence gaps, and behavioral indicators, and issues a verdict at each stage of the interaction.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">Who is Diopter AI for?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter is built for organizations where identity verification and high-trust communication are critical. This includes banks, fintech companies, KYC providers, media organizations, and enterprise security teams. CISOs, security operations leaders, and fraud prevention teams are the primary buyers.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What industries does Diopter AI serve?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter serves financial services (banking and fintech), KYC and identity verification providers, media organizations, enterprise hiring teams, and organizations with executive protection requirements. Each vertical faces a distinct deepfake attack surface, from wire transfer fraud to synthetic candidate fraud in hiring. <a href=\"https:\/\/diopter.ai\/industries\">See industry playbooks<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">Who uses Diopter AI?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter is built for security, fraud, IT, and operations teams across industries including financial services, real estate, insurance, mortgage, staffing, and recruiting.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What do customers say about Diopter AI?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter is designed for organizations that need to protect high-stakes calls involving payments, approvals, hiring, and account access. Customer references and deployment use cases are available upon request through our <a href=\"https:\/\/diopter.ai\/contact-us\">Contact Us<\/a> page.<\/div>\n      <\/details>\n    <\/section>\n\n    <!-- DEEPFAKE BASICS -->\n    <section class=\"faq-section\" id=\"basics\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>Deepfake basics<\/h2><span class=\"sec-count\">3 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">What is a deepfake?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">A deepfake is AI-generated synthetic media, including video, audio, or image, that manipulates or replaces a real person&#8217;s likeness with sufficient fidelity to deceive. Deepfakes are produced using generative models trained on real recordings of the target. The term originally referred to face-swap videos but now covers any synthetic identity output: voice clones, AI-generated avatars, and composite personas used in fraud. <a href=\"https:\/\/diopter.ai\/blog\/what-is-a-deepfake\/\">Read our full guide to deepfakes \u2192<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How are deepfakes made?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Deepfakes are produced using generative AI models, typically GANs (Generative Adversarial Networks) or diffusion models, trained on video, audio, or image samples of the target. For voice cloning, as little as a few seconds of audio can be sufficient. For video deepfakes, face-swap models require more source material, but commercial tools have significantly lowered the technical barrier. <a href=\"https:\/\/diopter.ai\/blog\/what-is-a-deepfake\/\">Learn how deepfakes are built and detected \u2192<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is synthetic media?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Synthetic media is any audio, video, image, or text generated by an AI model rather than captured from the real world. It includes deepfake videos, AI voice clones, AI-generated avatars, and composite personas. In a fraud context, synthetic media is used to impersonate real individuals with sufficient fidelity to bypass human and automated verification.<\/div>\n      <\/details>\n    <\/section>\n\n    <!-- VOICE & AUDIO -->\n    <section class=\"faq-section\" id=\"voice\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>Voice &amp; audio deepfakes<\/h2><span class=\"sec-count\">4 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">What is voice cloning?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Voice cloning is the AI-powered replication of a specific person&#8217;s voice from audio samples. A clone reproduces the target&#8217;s vocal tone, speech rhythm, accent, and characteristic phrases. Modern voice cloning models produce convincing outputs from as little as a few seconds of audio. Voice clones are deployed in fraud via phone calls, voice messages, and real-time call manipulation, impersonating executives, bank representatives, or known contacts.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is a synthetic voice call?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">A synthetic voice call uses an AI-generated voice, either a clone of a real person or a fabricated persona, to conduct a phone interaction. In fraud scenarios, synthetic voice calls impersonate executives, bank representatives, or government officials to authorize transactions, extract credentials, or manipulate employee behavior. The caller sounds indistinguishable from the impersonated individual to most listeners. <a href=\"https:\/\/diopter.ai\">Diopter detects synthetic voice in real time<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">Can someone clone my voice from a public recording?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Yes. A small amount of publicly accessible audio, such as a podcast appearance, a recorded video, or a voicemail greeting, is sufficient for modern voice cloning models to produce a usable replica. Executives, public figures, and anyone with a significant audio footprint online are particularly exposed. Voice cloning no longer requires specialized expertise or large audio datasets.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How does Diopter AI detect AI voice cloning?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter continuously analyzes live audio for synthetic voice indicators alongside identity signals and conversation context, helping identify cloned voices before critical actions are approved.<\/div>\n      <\/details>\n    <\/section>\n\n    <!-- SOCIAL ENGINEERING -->\n    <section class=\"faq-section\" id=\"social\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>Social engineering &amp; attack vectors<\/h2><span class=\"sec-count\">3 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">What is AI social engineering?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">AI social engineering is the use of artificial intelligence, including voice cloning, deepfake video, and synthetic personas, to enhance traditional manipulation tactics. AI enables attackers to impersonate specific, known individuals with fidelity that bypasses human skepticism. The attack surface shifts from mass-targeted phishing to highly personalized, real-time impersonation of trusted contacts. <a href=\"https:\/\/diopter.ai\/blog\/what-is-social-engineering\/\">Read our full guide to social engineering \u2192<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is a vishing attack?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Vishing (voice phishing) is a social engineering attack conducted over voice calls. The attacker impersonates a trusted authority, such as an executive, bank representative, or government official, to extract credentials, authorize transactions, or manipulate employee behavior. AI voice cloning has made vishing attacks significantly harder to detect. The caller does not need to sound convincing; they sound exactly like the impersonated individual. <a href=\"https:\/\/diopter.ai\/blog\/what-is-social-engineering\/\">How attackers use social engineering in voice fraud \u2192<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is authority framing in a social engineering attack?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Authority framing is a manipulation tactic where the attacker asserts a position of power or legitimacy before making a request. In voice fraud, this means impersonating an executive, regulator, or law enforcement figure. The framing reduces the target&#8217;s likelihood of questioning or verifying the request through normal channels. Combined with voice cloning, authority framing becomes significantly more effective because the voice matches the claimed identity.<\/div>\n      <\/details>\n    <\/section>\n\n    <div class=\"icta\">\n      <p><strong>See the manipulation arc in action.<\/strong>Diopter scores authority, urgency, and the ask as the call unfolds, not just after it ends.<\/p>\n      <a href=\"https:\/\/diopter.ai\/contact-us\">Book a walkthrough<\/a>\n    <\/div>\n\n    <!-- DETECTION & TECHNOLOGY -->\n    <section class=\"faq-section\" id=\"detection\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>Detection &amp; technology<\/h2><span class=\"sec-count\">3 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">How do you detect a deepfake?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Deepfake detection analyzes audio and video streams for artifacts introduced by the synthesis process. For video, detection evaluates facial coherence, blinking patterns, lighting consistency, and boundary anomalies. For audio, it examines spectral features, micro-timing, and synthesis model fingerprints. Human detection is inconsistent; automated systems like Diopter evaluate structured signals across every frame and phoneme. <a href=\"https:\/\/diopter.ai\/blog\/what-is-a-deepfake\/\">Deep dive: how deepfake detection works \u2192<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is liveness detection?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Liveness detection verifies that a face or voice presented in a session belongs to a live human rather than a recording, photograph, or synthetic media output. It is a core component of KYC processes. Deepfakes have broken many first-generation liveness systems. Modern liveness detection must account for real-time synthetic generation, not only pre-recorded media attacks.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">Can deepfakes be detected in real time?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Yes. Real-time deepfake detection analyzes incoming audio or video streams continuously and issues verdicts with latency low enough to be actionable during an active call. Diopter is built specifically for this, running detection end-to-end across live calls on platforms like Zoom, Teams, and Google Meet. The challenge is maintaining accuracy under the compression and noise conditions of real-world calls, which differ significantly from controlled laboratory environments.<\/div>\n      <\/details>\n    <\/section>\n\n    <!-- INDUSTRY THREATS -->\n    <section class=\"faq-section\" id=\"industry\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>Industry threats<\/h2><span class=\"sec-count\">5 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">What is deepfake banking fraud?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Deepfake banking fraud uses synthetic voice or video to impersonate account holders, executives, or relationship managers to authorize fraudulent transactions. Common patterns include cloned executive voices instructing wire transfers and synthetic identities bypassing remote onboarding checks. Banks face exposure at every voice-enabled touchpoint: call centers, remote verification sessions, and internal authorization calls.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is KYC fraud using deepfakes?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">KYC fraud using deepfakes involves presenting synthetic media, such as a real-time generated face, a video replay, or an AI-generated identity, to pass remote identity verification. As financial institutions move onboarding online, the attack surface for synthetic identity fraud has expanded significantly. First-generation liveness detection systems are increasingly insufficient against real-time generation models.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is deepfake hiring fraud?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Deepfake hiring fraud involves synthetic candidates using cloned voices or video avatars in remote interviews to fraudulently obtain employment, access credentials, or infiltrate organizations. The attacker passes recruitment screening as a fabricated or stolen identity. Sectors with significant remote hiring and privileged system access, including technology, finance, and defense, are primary targets.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How does Diopter AI help detect hiring fraud?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter helps detect synthetic candidates and proxy interviewers by analyzing live video, audio, identity signals, and conversation patterns throughout the interview process.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How does Diopter AI work for KYC verification?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter helps strengthen remote identity verification by detecting synthetic audio or video and identifying manipulation patterns that may indicate attempted identity fraud.<\/div>\n      <\/details>\n    <\/section>\n\n    <!-- EXECUTIVE PROTECTION -->\n    <section class=\"faq-section\" id=\"csuite\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>Executive &amp; C-suite protection<\/h2><span class=\"sec-count\">4 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">What is CEO fraud?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">CEO fraud is a social engineering attack where the attacker impersonates a company&#8217;s CEO or senior executive to instruct employees to execute unauthorized wire transfers, share sensitive data, or bypass standard verification procedures. AI voice cloning has made CEO fraud significantly more effective. Recipients receive a call that sounds exactly like their CEO, eliminating the skepticism that text-based impersonation would typically trigger. <a href=\"https:\/\/diopter.ai\/blog\/what-is-social-engineering\/\">Understand the social engineering tactics behind CEO fraud \u2192<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is executive impersonation?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Executive impersonation is the fraudulent representation of a C-suite leader, such as a CEO, CFO, or board member, to manipulate employees, partners, or financial institutions. It spans email-based BEC, synthetic voice calls, and deepfake video. The common thread is exploiting the authority of an executive identity to override normal approval and verification processes.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How are deepfakes used in C-suite fraud?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">C-suite deepfake fraud typically follows a structured arc. The attacker researches the target executive&#8217;s voice from public recordings, clones it, then calls a financial controller or operations lead with an urgent wire transfer or data release instruction. The call uses the executive&#8217;s speech patterns, includes urgency signals that discourage verification, and completes before any fraud flag triggers. Documented losses from single incidents have reached into the millions. <a href=\"https:\/\/diopter.ai\">Diopter monitors the conversation arc as it builds<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How does Diopter AI protect executives from impersonation attacks?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter verifies identity, detects synthetic media, and monitors for authority, urgency, and other manipulation tactics that commonly appear in executive impersonation attacks.<\/div>\n      <\/details>\n    <\/section>\n\n    <div class=\"icta\">\n      <p><strong>Protecting your executive channel.<\/strong>Diopter issues a verdict before the wire approval, MFA reset, or data release lands.<\/p>\n      <a href=\"https:\/\/diopter.ai\/contact-us\">Book a walkthrough<\/a>\n    <\/div>\n\n    <!-- RISK & COMPLIANCE -->\n    <section class=\"faq-section\" id=\"compliance\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>Risk, compliance &amp; CISOs<\/h2><span class=\"sec-count\">4 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">What is the financial impact of deepfake fraud?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Documented deepfake fraud losses include individual incidents in the tens of millions of dollars. One widely reported case involved a finance employee who transferred over $25 million following a deepfake video call impersonating company leadership. Aggregate losses from AI-enabled social engineering and synthetic identity fraud run into the billions annually. Actual figures are likely higher due to underreporting and misclassification as standard fraud.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What regulations address deepfake fraud?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Regulatory frameworks addressing deepfakes include the EU AI Act, which requires disclosure of synthetic media, and US state-level laws in California, Texas, and Virginia covering specific use cases. Financial regulators including the FFIEC and FCA have issued guidance on synthetic identity risk in digital onboarding. Compliance teams should monitor both technology-specific legislation and existing fraud statutes being applied to deepfake cases.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How should CISOs assess deepfake risk in their organization?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">A deepfake risk assessment maps the organization&#8217;s communication touchpoints, including call centers, executive channels, remote onboarding flows, and financial authorization processes, against known deepfake attack vectors. It identifies where voice or video authentication is relied upon, where human judgment is the primary control, and where synthetic media would have the highest impact if undetected. The output is a prioritized exposure map, not a compliance checklist. <a href=\"https:\/\/diopter.ai\/contact-us\">Walk an attack arc with Diopter<\/a><\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">Is Diopter AI reliable for enterprise use?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter is built for enterprise environments with on-device detection where applicable, configurable data retention, tenant-level controls, MDM deployment, and SOC 2 Type II in progress.<\/div>\n      <\/details>\n    <\/section>\n\n    <!-- SUPPORT & CUSTOMER SUCCESS -->\n    <section class=\"faq-section\" id=\"support\">\n      <div class=\"sec-head\"><span class=\"sec-dot\"><\/span><h2>Support &amp; Customer Success<\/h2><span class=\"sec-count\">4 questions<\/span><\/div>\n      <details>\n        <summary><span class=\"q-text\">How do I contact Diopter support?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Customers can contact the Diopter support team at <a href=\"mailto:support@diopter.ai\">support@diopter.ai<\/a> for assistance with platform usage, investigations, integrations, account administration, and security-related inquiries.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How are support requests handled?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Support requests are reviewed by the appropriate team and addressed based on priority and impact.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">What is Diopter&#8217;s approach to customer support?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">Diopter maintains a support process designed to address customer inquiries efficiently while prioritizing time-sensitive operational and security matters.<\/div>\n      <\/details>\n      <details>\n        <summary><span class=\"q-text\">How do I get a demo of Diopter AI?<\/span><span class=\"q-icon\"><svg width=\"10\" height=\"10\" viewBox=\"0 0 10 10\" fill=\"none\"><path d=\"M5 1v8M1 5h8\" stroke=\"#6B7A9C\" stroke-width=\"1.5\" stroke-linecap=\"round\"><\/path><\/svg><\/span><\/summary>\n        <div class=\"ans\">You can book a <a href=\"https:\/\/diopter.ai\/contact-us\">30-minute walkthrough<\/a> to see how Diopter detects deepfakes, models conversation risk, and helps teams respond before high-risk decisions are made.<\/div>\n      <\/details>\n    <\/section>\n\n    <!-- BOTTOM CTA -->\n    <div class=\"bcta\">\n      <h2>Walk a real attack arc with Diopter.<\/h2>\n      <p>In 30 minutes, we replay a real deepfake incident, show the signals Diopter would score, and map the verdict your team could act on.<\/p>\n      <div class=\"bcta-btns\">\n        <a href=\"https:\/\/diopter.ai\/contact-us\" class=\"btn-p\">Book a walkthrough<\/a>\n        <a href=\"https:\/\/diopter.ai\" class=\"btn-g\">Learn about the platform<\/a>\n      <\/div>\n    <\/div>\n\n  <\/main>\n<\/div><!-- end .wrap -->\n<\/div><!-- end .dfaq -->\n\n<script>\n\/* \u2500\u2500 SEARCH \u2500\u2500 *\/\n(function(){\n  var input=document.getElementById('dfaqSearch');\n  var countEl=document.getElementById('dfaqCount');\n  var 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organization in real time. Jump to section About Diopter Deepfake basics Voice &amp; audio Social engineering Detection &amp; technology Industry threats Executive protection Risk &amp; compliance Support &amp; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-122","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Frequently Asked Questions - Diopter AI<\/title>\n<meta name=\"description\" content=\"Get quick answers about our products, platform features, setup process, security, and customer support.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/diopter.ai\/blog\/frequently-asked-questions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Frequently Asked Questions - 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