Real-time deepfake detection for voice and video
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When AI
falls into
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Why Pindrop Pulse® is different
Pindrop offers one-of-a-kind detection of both AI and human impersonation threats through a continuous, multifactor analysis of virtual meetings.
Named one of TIME’s Top 10 Most Influential Software Companies
Pindrop was recognized by TIME for its work defining what trust looks like in an era of AI-generated voice, video, and identity.
Pindrop Named a Sample Vendor in Digital Trust and Authenticity Platforms4
We believe our inclusion as a Sample Vendor in this report reflects our commitment to helping organizations authenticate digital media, prevent impersonation, and build the trust infrastructure the modern enterprise demands. Access the report to see why we feel Gartner analysts say Digital Trust and Authenticity Platforms are becoming business-essential.
How Pindrop Pulse® for Meetings works
Audio and video deepfake detection
Analyzes audio and video in real time for signs of synthetic manipulation with 99% accuracy in audio deepfake detection5 and less than 1% false positives.6 Flags to the meeting host when an alert is detected.
Voice authentication
Leverages Pindrop Deep Voice® engine to confirm meeting participants are the right person.
Location risk signals
Surfaces risk indicators such as VPN usage or unexpected geographies.
Real human. Right human. Right location.
Know who’s really in the meeting. See how Pindrop Pulse® for Meetings helps protect high-stakes virtual conversations with real-time deepfake detection and continuous identity verification.
Defend your meetingsPindrop Pulse® for Meetings FAQs
Pindrop Pulse® for Meetings is designed to integrate with leading enterprise collaboration platforms, including Microsoft Teams, Zoom, and Cisco Webex. Enterprises can strengthen meeting security without replacing the collaboration tools employees, customers, and external participants already use.
By working alongside existing meeting platforms, Pulse adds continuous identity verification, passive voice authentication, deepfake detection, and location analysis to help security teams evaluate participant identity throughout virtual meetings. This enables enterprises to strengthen meeting integrity without requiring users to change how they schedule or participate in virtual meetings.
Pindrop Pulse® for Meetings continuously analyzes meeting audio and video for signs of AI-generated manipulation, including cloned voices, synthetic avatars, and face swaps. This helps security teams identify deepfake risk throughout a virtual meeting, not only when a participant first joins.
Pulse combines audio and video deepfake detection with passive voice authentication and location risk signals to help assess whether a participant is a real human, the right human, and joining from the right location.
Yes. Pindrop Pulse® for Meetings analyzes live meeting audio and video to detect signs of cloned voices and other AI-generated manipulation, including synthetic avatars and face swaps.
It also uses passive voice authentication and location risk signals to give security teams additional context when assessing participant identity during high-risk virtual meetings.
According to Pindrop’s published performance results, Pulse achieves approximately a 1% false positive rate when detecting potential AI-generated impersonation. Pindrop also reports 99% detection of known deepfake engines and more than 90% detection of previously unseen voice cloning models.
These results are supported by independent third-party evaluations. In an NPR News evaluation of commercial audio deepfake detection solutions, Pindrop achieved the highest overall accuracy, correctly identifying 81 of 84 audio samples (96.4%). More recently, the independent Podonos Audio Deepfake Detection Benchmark ranked Pindrop as the fastest and most accurate commercial detector evaluated in its benchmark.
Passive voice authentication is a form of voice-based identity verification that analyzes the unique characteristics of natural speech during conversation, rather than requiring an explicit authentication step. It verifies a person’s identity by analyzing the unique characteristics of their speech during normal conversation. Unlike traditional voice authentication, it does not require participants to repeat a passphrase or interrupt the meeting experience.
Voice characteristics represent one of several identity signals that can help continuously verify participant identity throughout a meeting. Pindrop Pulse incorporates passive voice authentication alongside deepfake detection and location integrity to provide a more comprehensive assessment of participant identity during live conversations.
Traditional meeting security primarily focuses on controlling access to a meeting, while continuous identity verification helps confirm that participants remain who they claim to be throughout the conversation. Authenticating a user when they join a meeting verifies access, but it does not continuously verify the identity of the person participating after the meeting begins.
Pindrop Pulse extends traditional meeting security by continuously evaluating identity signals—including passive voice authentication, deepfake detection, and location integrity—to provide ongoing confidence in participant identity. This layered approach helps organizations strengthen meeting integrity without changing existing collaboration workflows.
1 Deloitte, “Generative AI is expected to magnify the risk of deepfakes and other fraud in banking,” May 2024
2 Dark Reading, “Deepfakes Rank as the Second Most Common Cybersecurity Incident for US Businesses,” May 2024
3 Gartner, “Data View: What Is the Impact of GenAI on the Attack Landscape?,” August 2025
4 Gartner, Emerging Tech: AI Vendor Race: Eroding Digital Trust Threatens the Global Economy, Forcing Adoption of Digital Trust and Authenticity Platforms, Alfredo Ramirez IV, Apeksha Kaushik, 5 March 2026
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5 Pindrop, “Exposing the Truth About Zero-Day Deepfake Attacks,” July 2023
6 Pindrop analysis of call data of Pulse customers from Q4 2024 to Q2 2025