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AI Deepfake Real-Time Detection System DeepGuard Launches: Instantly Identifies Face-Swapping During Video Calls

Israeli cybersecurity company CyberSight releases DeepGuard real-time deepfake detection system, identifying AI face-swapping and voice cloning during video calls with detection latency under 200 milliseconds.

Israeli cybersecurity company CyberSight today released DeepGuard, a system that detects deepfakes in real time during video calls. Running as a browser extension and mobile app, DeepGuard analyzes the other partys video stream at 30 frames per second during Zoom, Teams, or any WebRTC video call.

The system uses a multimodal detection architecture simultaneously analyzing five dimensions: facial micro-expression consistency, skin texture authenticity, light-shadow matching, voice spectral features, and lip-audio synchronization. When a suspected deepfake is detected, DeepGuard alerts the user within 200 milliseconds with a red warning and highlights suspicious areas on the video.

CyberSight CEO Yuval Cohen said DeepGuard achieved 99.2% detection accuracy against mainstream deepfake tools in internal testing with only 0.3% false positive rate. The company has signed pilot agreements with multiple banks and government agencies, with a free personal edition launching next month and enterprise pricing at $15 per user per month.