How to detect a deepfake with visual clues and AI tools

<p>Deepfakes — once the stuff of science fiction — are now so convincing that the best ones can fool even savvy end users.</p>
<p>While some AI-generated content can be useful and completely benign, <a href=”https://www.techtarget.com/whatis/definition/deepfake”>deepfakes</a> — realistic, AI-generated images, video and audio recordings — often aim to mislead and misinform. Cybercriminals increasingly use them to perpetrate identity theft, data theft and fraud.</p>
<p>In enterprises, deepfakes can lead to serious security incidents and substantial financial losses. One <a target=”_blank” href=”https://www.cfodive.com/news/scammers-siphon-25m-engineering-firm-arup-deepfake-cfo-ai/716501/” rel=”noopener”>documented attack</a>, for example, saw threat actors use deepfake technology to impersonate an organization’s CFO on a video call and convince a finance employee to send them $25 million.</p>
<p>Many corporate end users remain unaware that such attacks are even possible, making deepfake education a critical addition to security awareness training. This article presents tips and tools to help employees identify deepfakes and protect their organizations from cyberattacks and fraud.</p>
<section class=”section main-article-chapter” data-menu-title=”7 tips to spot a deepfake”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>7 tips to spot a deepfake</h2>
<p>Users should be alert for the following imperfections, inconsistencies and oddities, which often appear in deepfake images, videos and audio recordings and streams.</p>
<h3>1. Facial and body movements</h3>
<p>Although deepfake technology is rapidly improving, it often fails to produce facial expressions and body movements that appear human-like and natural under scrutiny.</p>
<p>When viewing images of people with inhuman qualities, the brain generates a negative emotional response — dubbed the <a href=”https://www.techtarget.com/whatis/definition/uncanny-valley”><i>uncanny valley</i></a>. Urge employees to heed that instinct, as it might serve as the only indicator that they are viewing deepfake content.</p>
<h3>2. Lip-sync detection</h3>
<p>Lip movements that don’t match the corresponding voice might suggest deepfake activity, due to altered audio and synchronization issues.</p>
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