Announcing Pindrop^® Pulse for Meetings in Preview, our Real-Time Audio and Video Deepfake Detection for Meetings

Today, we’re announcing the beta of our new deepfake detection product, Pindrop^® Pulse for meetings, available for Zoom, Microsoft Teams, and Webex, with support for additional platforms coming soon. Built on the Pindrop^® Pulse multifactor “real human” platform, our Pulse for meetings solution brings deepfake detection directly to your meetings by analyzing audio and video content in real time to detect AI-generated manipulation. With this beta launch, Pindrop extends our deepfake detection capabilities – already trusted by some of the largest enterprises to analyze 130M phone calls, into video meetings.

Virtual Meetings: A New, Unprotected Attack Surface

Virtual meetings have become a cornerstone of modern business, facilitating high-stakes interactions like financial transactions, hiring decisions, and executive discussions. With nearly 1B daily active users across Zoom, Microsoft Teams, and Webex, organizations now rely on these platforms more than ever. Yet, video conferencing remains an unprotected entry point for cyber threats. While CISOs have dedicated significant resources to secure email, data networks, and cloud infrastructure, most organizations lack safeguards against deepfake-driven deception in video meetings.

Cybercriminals are exploiting this gap, using AI-generated voices, avatars, and face swaps to manipulate live conversations, gain unauthorized access, and execute fraud. Attackers have successfully impersonated executives, deceived employees into transferring funds, and even infiltrated hiring processes with deepfake job candidates.

Real-world incidents highlight this growing threat. In January of 2024, a finance worker at Arup paid out $25M after being deceived by a deepfake CFO on a video call. Fraudsters have also used deepfake technology to impersonate job candidates, gaining access to sensitive enterprise environments under false identities. In July 2024, KnowBe4 reported a case where a North Korean created a deepfake to get through an interview process, landing a job, and attempting to execute unauthorized software within minutes of receiving a laptop. Additionally, in September of last year, a U.S. Senator was targeted by a deepfake impersonating a Ukrainian official attempting to exfiltrate information about military movement between Ukraine and Russia. These cases demonstrate the urgent need for advanced safeguards in meetings.

As these threats escalate, securing video meetings must become a core pillar of enterprise cybersecurity strategies.

Types of Deepfake Threats in Your Meetings

We’ve identified four primary attack vectors used to manipulate participants in video meetings:

These techniques enable a range of attacks targeting enterprises, both large and small:

We’ve already had significant success in tackling audio-based deepfake threats with the Pindrop Pulse liveness detection technology. Now, to address the next wave of challenges, we’re introducing a powerful solution for detecting video deepfakes.

Pindrop^® Pulse “Real Human” Platform for Video Meetings

We’ve helped secure the world’s largest banks, insurers, and contact centers with tech backed by 12+ years of proprietary and industry data. Now, we’re extending that same expertise to video. Pindrop Pulse’s Real-Human Platform is built to answer a simple but increasingly urgent question: Is the person in this video meeting a real human or a machine?

Our platform uses real-time audio and video deepfake detection to evaluate a participant’s authenticity – whether they’re speaking or silent, on-camera or off. Organizations can choose which detection signals to enable based on their security and privacy needs. It’s the same multifactor approach that has helped enterprises secure millions of phone-based interactions, now applied to virtual meetings. With the addition of video analysis, Pindrop Pulse for meetings expands our deepfake detection portfolio and brings comprehensive protection to a space that has quickly become a target for AI-driven deception.

Our new video detection engine analyzes content in three key ways:

With the launch of our video deepfake detection model, we’ve also taken the opportunity to strengthen our audio detection pipeline – because audio remains the most convincing of deepfake modalities. Our latest model is specifically trained on the signal post-processing used by major conferencing platforms, enabling more accurate detection in real-world meeting environments. Audio provides over 16,000 samples per second – far more than the 30 frames per second in video – making it rich with detail. That density helps our system surface subtle artifacts in sound that can reveal AI-generated manipulation.

By combining high-fidelity audio analysis with advanced video detection, Pindrop Pulse’s Real-Human Platform delivers a strong defense against AI-generated deception in virtual meetings.

Announcing a Beta of Pindrop^® Pulse for Meetings

We’re now combining both our audio and video deepfake detection models into a comprehensive solution for video conferencing. Pindrop^® Pulse for meetings offers real-time deepfake detection with an intuitive in-app experience, available for installation directly from the Zoom, Microsoft Teams, and Webex app stores. IT administrators can deploy the application to users in just minutes. Once installed, users can log in, invite a security assistant, and start receiving real-time alerts immediately. This powerful tool enhances security by:

The Next Generation of Security for Virtual Collaboration

As the line between real and synthetic continues to blur, protecting digital interactions is no longer optional – it’s essential. With Pindrop Pulse for meetings, organizations can confidently navigate the future of virtual communication, knowing they have the latest technology to combat deepfake manipulation in real time.

Want to see Pindrop^® Pulse for meetings in action? Contact us to learn more about integrating real-time deepfake detection into your virtual conferencing workflows.