Deepfake Detection by Modulate

Modulate is a voice deepfake detection tool designed to identify and protect against synthetic voice fraud in real time. This capability is instrumental to sectors that rely heavily on voice communication such as banking, finance, healthcare, retail & e-commerce, insurance, higher education, and enterprise contact centers.

Modulate's AI model, Velma, employs a combination of audio forensics, emotion modeling, linguistic profiling, and conversational dynamics to detect fraudulent or unnatural exchanges within audio communications.

Velma is also able to analyze audio in real-time, ensuring fast and efficient detection of voice deepfakes. Significantly, the tool can function in different environments, either real-time systems like contact centers, authentication flows, or moderation pipelines, or in batch pipelines.

Furthermore, Velma supports both real-time streaming and batch analysis of recorded audio files, providing extensive coverage across your call library.

It also has a mechanism to distinguish legitimate synthetic voice users such as those relying on assistive voice technology, which helps prevent false positive detections.

Modulate has been benchmarked as a leading solution in deepfake detection, demonstrating high accuracy and reduced false positives when compared to other models.