Video Deepfake Prevention Online Meeting Deepfake Detection Safeguard Calls, Protect Your Business with Deepfake Prevention Combat the rising threat of deepfakes in video conferencing and ensure authentic communication. Request a Demo The Threat of Deepfakes in Online Meetings Fraudsters create deepfakes to impersonate individuals (executives, employees, interview candidates), and take advantage. Facia's application safeguards your organisation from deepfake fraud during video call meetings, creating a trustworthy environment. talk to an expert AI-Powered Video Meeting Deepfake Detection Facia uses advanced AI algorithms to detect and neutralise deepfakes in real time, safeguarding your online meetings from deepfake fraud. We analyze video calls for subtle inconsistencies that expose even the most sophisticated deepfakes. Multi-level Analysis Real-time Detection Advanced Anomaly Detection The Integration Process Step 1 Request a demo today and get a live POC to provide integration steps for your enterprise. Get up & running within 24 hours. DOCKER Step 2 Use your license key to allow Facia's application to add itself into your meetings. DOCUMENTATION Step 3 Your admin can analyze the number of scans and their results in a user friendly back office. VERIFIED Request a Demo Why Choose Facia? Secure by design. None of your confidential data is used for any other purposes. Works passively in the background. No active input required. We are the only solution currently offering deepfake detection for virtual meetings. Online Meeting Deepfake Detection Use Cases Hong Kong CFO Hong Kong CFO A Hong Kong finance firm lost $25 million with a single transaction when scammers used a deepfake to impersonate the company's CEO during a Zoom meeting. The deepfake was so convincing it fooled an experienced worker, resulting in a huge financial loss. CyberArk CEO CyberArk CEO An employee used free online tools to create a shockingly realistic deepfake of their CEO: Udi Mokady. The deepfake, showing Mokady casually dressed within his office, was startlingly real, even fooling the CEO himself when revealed in a Teams message. Binance CCO Binance CCO Fraudsters exploited Hologram AI to create deepfakes of the Binance CCO, using a familiar face and behavior to build a false sense of security during video conferences. This tactic targeted unsuspecting victims within the crypto sphere. Corporate interviews Corporate Interviews Ensure that job candidates are physically present and not using deepfake technology to manipulate their identity, protecting companies from hiring fraud. University interviews University interviews Prevent university admission fraud by verifying that applicants appearing in remote interviews are genuinely present and not using AI-generated deepfake avatars to pretend to be someone else. Confidential Meetings Confidential Meetings Protect sensitive business discussions from intrusions by ensuring that all participants are real individuals and not unauthorized individuals pretending to be someone else. Ready for a Secure, Deepfake-Free Video Call Experience? Request A Demo More On Deepfakes 14 Feb 2025 2 minutes read News UK Universities Experiencing AI Deepfake Fraud in Admissions Process Where visa refusal rates are above 10 percent, student... View More View More 27 Sep 2024 1 minute read Whitepaper Market Leading Accuracy in Facia’s New Deepfake Detection Algorithm The most intriguing, and the most concerning invention to... View More View More 04 Jul 2024 10 minutes read Blog The Double-Edged Sword of AI: Face Biometrics vs. Deepfakes Face biometrics and deepfakes both represent two sides of... View More View More Frequently Asked Questions How deepfakes are created in live calls? Deepfakes in live calls can be created using two main techniques: Face Swapping with GANs: This involves training two neural networks against each other to create realistic deepfakes. Deep Reinforcement Learning: AI agents learn to manipulate facial features in real-time for dynamic deepfakes. Can Zoom meetings be targeted with deepfakes? Yes. Deepfakes can be used to disrupt or deceive in Zoom meetings just as easily as on other video conferencing platforms. They manipulate the video stream itself, making it difficult for platforms to detect. Attackers might impersonate participants or inject false information. How can I spot a deepfake during a video call? Here are some signs that might indicate a deepfake: Unnatural Facial Expressions: Pay attention to anything unusual, such as stiffness, lack of blinking, or misaligned facial features. Lighting Inconsistencies: Look for strange shadows, mismatched lighting between the face and the background, or flickering around the edges. Audio-Visual Discrepancies: Pay attention if the voice seems off, or there's a mismatch between lip movements and audio. Suspicious Behavior: The person says something out of character or the call feels unusual and odd. How does Facia detect deepfakes? Facia's proprietary AI technology, Morpheus, uses advanced deep learning models like Convolutional Neural Networks (CNNs) to analyse subtle variations that reveal deepfakes. Additionally, Morpheus incorporates 3D liveness detection, examining biological markers (like eye movements) that are difficult for deepfakes to replicate.
