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Cyabra detects deepfakes using spatio-frequency analysis to detect invisible pixel inconsistencies, and identifies unnatural movement patterns and lip-sync errors across video frames

July 21, 2025 //  by Finnovate

Cyabra Strateg,  the AI-powered platform for real-time disinformation detection, has launched  launch of its advanced deepfake detection tool designed to help brands and governments counter the growing threat of AI-generated “synthetic” media. The new capability uses AI to analyze images and videos for signs of manipulation, providing rapid verification of content authenticity. Cyabra’s tool empowers organizations to distinguish real content from convincing forgeries, detecting threats to brand reputation and public safety. The advanced detection tool leverages two proprietary AI models: PixelProof for images and MotionProof for videos. PixelProof uses spatio-frequency analysis to detect invisible pixel inconsistencies, while MotionProof identifies unnatural movement patterns and lip-sync errors across video frames. Both models deliver results in seconds and provide confidence scores with visual heatmap explanations showing exactly where content appears manipulated. The advanced detection tool leverages two proprietary AI models: PixelProof for images and MotionProof for videos. PixelProof uses spatio-frequency analysis to detect invisible pixel inconsistencies, while MotionProof identifies unnatural movement patterns and lip-sync errors across video frames. Both models deliver results in seconds and provide confidence scores with visual heatmap explanations showing exactly where content appears manipulated. The deepfake detector works in concert with its existing suite of tools for authenticity analysis, narrative tracking, and 24/7 real-time monitoring. This integrated approach gives government agencies and corporations the context and early-warning signals needed to counter complex disinformation threats.

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Category: Cybersecurity, Innovation Topics

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