New Pindrop® Pulse App for Zoom Meetings Helps Defend Against AI Deepfakes

Pindrop^® Pulse for meetings is now generally available on the Zoom¹ App Marketplace. It brings three quiet, always-on safeguards directly into your meetings—real-time deepfake detection (audio and video), passive voice authentication, and geolocation intelligence—so your team can focus on decisions, with peace of mind in an era when AI deepfake attacks are an increasing concern.

TL;DR

Common fraud threats in virtual meetings—and who needs to pay attention

Remote work has shifted many high-trust moments like hiring decisions, funds movement, and access approvals into video calls. That makes your meetings more valuable and productive, but also more attractive to attackers who use AI-generated voices and faces or send stand-ins to interviews and reviews. Traditional controls (resume screening, email approvals, caller ID, human vigilance)² don’t see what’s happening inside the meeting or whether the participant is even a real person or a deepfake. At the moment of a decision, this can mean wire fraud, bad hires, and unauthorized access.

Geography adds another layer. Enterprises routinely spot meeting participants from unexpected or policy-restricted countries—often via VPNs. Without in-meeting visibility, you often can’t tell if the person is a bad actor trying to break into your organization from afar.

Remote meetings are now decision points. Three short scenes show the pattern and the people who end up accountable.

Scene 1: Interview fraud

A candidate passes initial screening with a polished resume, a believable LinkedIn^® profile,³ and convincing identity documentation. When the candidate appears on-screen for the interview, hidden artifacts appear: tiny misalignments in video frames, issues with lip movements, or audio sync that are often undetectable by human eyes or ears. After the interview, the IP address indicates the call was originating from North Korea. Turns out the candidate was a North Korean operative trying to obtain employment with a U.S. company.⁴

Scene 2: “Can you approve this wire?”

A video meeting with a known vendor sounds routine. Finance is ready to proceed with releasing the payment, until it is revealed that the vendor’s voice does not match their expected profile.

Scene 3: Executive impersonation

You are a finance employee attending what you believe is a video meeting with your company’s CFO and trusted executives. They look and sound as you expect, so you trust them enough to transfer millions of dollars as per their instructions. Turns out they were deepfake recreations of the CFO and his staff, and the money is now gone.⁵

How Pulse for meetings works (and what makes it different)

Three layers, one quiet workflow—inside Zoom

What sets Pulse apart

How to get started

Once you purchase the subscription, install from the Zoom App Marketplace, configure your policies by meeting type, and run a guided demo to see deepfake detection, passive voice verification, and geo alerts working together in a real Zoom session.

To learn more about Pindrop Pulse for meetings, contact an expert today.

FAQ

What is “deepfake detection for Zoom”?

It’s technology that inspects live audio and video during Zoom Meetings to help spot AI-generated content and alert hosts in real time—no workflow changes required.

Does it replace MFA or background checks?

No. Think of Pulse as a meeting-time security layer that complements existing identity, risk, and hiring controls—especially where decisions are made live.

Will it disrupt our meeting flow?

Participants will see Pulse in the meeting, but it runs quietly in the background and only surfaces clear, configurable alerts within seconds. Most meetings proceed without interruption.

Can this help with hiring fraud?

Yes. Passively authenticate the same human for every interview in an interview loop, detect fraudsters who use AI impersonations or nation-state actors who are attacking your organization through the hiring pipeline. Enroll a participant once (first interview), then passively verify the same human shows up for panel rounds and day one on the job, while deepfake and geo signals detect manipulation or inconsistency.