March 17, 2026
Zoom Contact Center Adds Pindrop’s Deepfake Detection and Voice Verification
Zoom has integrated Pindrop’s real-time deepfake detection and voice identity verification technologies directly into its contact centre platform. The move embeds Pindrop’s voice authentication, synthetic media detection and fraud risk intelligence to detect impersonations and verify callers in real-time across financial services, healthcare, insurance, telecommunications and government.
Embedding security into CX platforms
Zoom is responding to growing demand from IT and compliance teams for unified solutions, which is being fuelled by a sharp rise in fraud powered by artificial intelligence. Pindrop cites a finding from one of its own reports that AI-driven fraud spiked 1,210 percent last year.
Adding a layer of fraud protection at the point of customer contact could not only increase enterprise security but also avoid the need for separate solutions to be managed parallel to the CX platform. The move also strengthens Zoom’s competitive position against rivals such as Microsoft and Cisco. Partnering instead of building the technology internally enables advanced capabilities to be brought to market more quickly.
Kentis Gopalla, Head of Zoom CX & Ecosystem, explained how it can help its contact centre customers: “By integrating Pindrop’s real-time deepfake detection and voice authentication into our platform, we’re giving organizations stronger tools to help verify callers, reduce fraud risk and maintain confidence in every customer interaction—especially as AI-generated impersonation becomes more sophisticated.”
The integration builds on Pindrop’s earlier deepfake detection release for video conferencing platforms. In April 2025, the company launched a beta version of its Pulse technology for meetings platforms, which already had Zoom in mind, as well as Microsoft Teams and Webex. Previously, the solution had been used to monitor phone calls – about 130 million of them – for authenticity.
Rising fraud risks reshape contact centres
The announcement reflects a wider shift in the threat landscape. Contact centres, particularly in financial services and healthcare, are increasingly exposed to AI-driven fraud and identity spoofing.
This growing risk is highlighted by $410m lost to deepfake fraud in just six months, showing how quickly synthetic media is being weaponised at scale. What was once a niche threat is now becoming a mainstream tactic used by fraudsters to bypass traditional security checks.
At the same time, there has been a surge in AI-generated voices being used to impersonate customers, with attackers able to clone voices using only small amounts of audio data. These synthetic voices can convincingly replicate tone, accent, and speech patterns, making them difficult for both agents and legacy verification systems to detect.
The implications for contact centres are significant. Many still rely on knowledge-based authentication, such as passwords or personal information, which can be obtained or guessed. When combined with realistic voice cloning, these methods become far less reliable.
Last year, Ben Colman, co-founder and CEO of Reality Defender, highlighted the escalating dangers of deepfakes targeting call centre security, noting “the main trend is the move from voice-based fraud to video-based”. Colman even specifically called out “technologies like Zoom and Teams” becoming “increasingly vulnerable”.
Security becomes central to customer experience
Deepfake fraud is no longer a theoretical risk. It is becoming an operational issue for contact centres, where agents must verify customers quickly without adding friction to the experience. This can create a difficult balance to strike for organisations. Strengthening security can slow down service but failing to act increases exposure to fraud.
Embedding detection and verification directly into the contact centre platform as with Zoom’s integration of Pindrop offers a way to manage both priorities at once. By bringing specialist technology into its ecosystem, the company can respond faster to emerging threats, while maintaining a streamlined user experience. As deepfake fraud continues to grow, this kind of built-in protection is likely to move from a differentiator to a baseline expectation.
