The Watermark Can't Be Optional Anymore. So We Made It the Default

In response to the increasing threat of deepfakes and the requirements of the EU AI Act, a company has upgraded its open-sourced audio watermarker, PerTh, to a more robust version called PerTh Multimodal, which now marks audio, video, image, and text through a single API. This upgrade is designed to ensure content provenance by embedding durable, detectable watermarks that survive various forms of content processing and distribution. The new EU regulations mandate that AI-generated content must be marked in a machine-readable format from its inception, with fines for non-compliance reaching up to 15 million euros or 3% of global revenue. The company emphasizes the importance of a layered watermarking approach, combining file-level records, invisible content watermarks, and logs. Their detection model has achieved high accuracy in identifying deepfakes, outperforming other systems in benchmarks and contributing to ongoing research and development in synthetic voice detection. The company continues to engage in industry discussions about the implications of deepfakes on security and identity verification, highlighting the need for comprehensive detection and watermarking strategies to manage AI risks.

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