Pindrop Pulse

Properties

category: detector
maturity: established
approach: Liveness detection and acoustic pattern analysis to identify mechanical signatures of synthetic voice generation, such as spectral distortions and frequency anomalies.
access: paid
owns: Detects AI-generated voice clones and audio deepfakes in contact-center phone calls (Pindrop Pulse for Contact Centers) and, via Pindrop Pulse for Meetings, synthetic voices, avatars, and face swaps in live video meetings on Zoom, Webex, and Microsoft Teams; targets contact centers, banks, and enterprise workforces.
distinctFrom: Analyzes audio physics and biological speech markers instead of evaluating text syntax or semantic predictability.
source: Pindrop Pulse
notes: Pulse is now sold as two products, Pindrop Pulse for Contact Centers and Pindrop Pulse for Meetings; the meetings product 'analyzes live meeting video to detect signs of cloned AI-generated manipulation, including synthetic avatars and face swaps.' Vendor claims a 99% detection rate for known deepfake engines and over 90% for new or unseen engines (unverified). Pindrop also cites an NPR test in which Pulse correctly identified 81 of 84 audio samples.

category: detector
maturity: established
approach: Liveness detection and acoustic pattern analysis to identify mechanical signatures of synthetic voice generation, such as spectral distortions and frequency anomalies.
access: paid
owns: Detects AI-generated voice clones and audio deepfakes in contact-center phone calls (Pindrop Pulse for Contact Centers) and, via Pindrop Pulse for Meetings, synthetic voices, avatars, and face swaps in live video meetings on Zoom, Webex, and Microsoft Teams; targets contact centers, banks, and enterprise workforces.
distinctFrom: Analyzes audio physics and biological speech markers instead of evaluating text syntax or semantic predictability.
source: Pindrop Pulse
notes: Pulse is now sold as two products, Pindrop Pulse for Contact Centers and Pindrop Pulse for Meetings; the meetings product 'analyzes live meeting video to detect signs of cloned AI-generated manipulation, including synthetic avatars and face swaps.' Vendor claims a 99% detection rate for known deepfake engines and over 90% for new or unseen engines (unverified). Pindrop also cites an NPR test in which Pulse correctly identified 81 of 84 audio samples.