Deepfake attacks have not only proliferated in recent years, but grown more sophisticated, exploiting multiple channels of communication in a single scam. Where they were once confined to a single format, a fraudulent interaction may now begin with a cloned voice and escalate to a forged document or manipulated video. Organizations can no longer depend on single-format detection systems. That’s why Scam.ai partnered with Modulate to bring synthetic voice detection to its customers.

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Building on its established deepfake detection capabilities across images, digital documents, and video, Scam.ai embedded Modulate’s voice detection directly into its platform. The result is a unified approach to identifying multimedia deepfake scams across live and recorded interactions. Customers can reduce their reliance on disconnected, channel-specific detection tools and add synthetic voice detection to the fraud prevention, authentication and content-verification workflows they already use.