Pindrop Pulse leverages advanced deep learning models and liveness detection technology to detect audio deepfakes and voice clones in real-time. It identifies synthetic voices, including those generated by text-to-speech, voicebots, and voice conversion, with a 99% detection rate for known threats and 90% for new or unseen threats. The solution integrates with existing authentication and fraud prevention systems, providing continuous assessment during calls and offering explainability features to enhance security processes. It can analyze audio samples in 150 milliseconds, addressing various voice attacks such as replayed recordings, speech synthesis, and automated chatbots, while maintaining a low false positive rate of less than 1%. Additionally, Pindrop Pulse Inspect extends its capabilities to detect AI-generated speech in digital audio files with 99% accuracy, supporting media organizations and other sectors in preventing misinformation.
