Why Deepfakes in Enterprise Communications are an Urgent Threat

In the 2025 Voice Intelligence and Security Report, Pindrop research reported a 354% increase in deepfake activity across enterprises.

Deepfake audio is evolving faster than most enterprises can defend against. In From Imitation to Exploitation: Tackling Deepfake Audio Risks in Voice Security, Opus Research examines the scale of the threat and the urgent need for AI-driven defenses.

Pindrop is featured extensively in the report, offering data and insights that spotlight how deepfake fraud is escalating across contact centers, collaboration tools, and beyond. Keep reading for key takeaways from the report.

Deepfake audio: Now an enterprise-level issue

An audio deepfake features an AI-created synthetic voice. This voice could be entirely new or may attempt to impersonate a real individual’s voice. Using machine learning, these deepfakes are exceptionally convincing, capturing tone, cadence, and accent to create recordings that may be indistinguishable from human speech.

As Opus Research reported, “…threat actors can orchestrate both focused and widespread attacks with ease, at speed.” Advancements in GenAI and accessible text-to-speech (TTS) systems have fueled fraudsters in their attempts to launch large and damaging attacks.

These attacks often come from many angles. In the contact center, fraudsters can use information from a data breach and a convincing audio deepfake to orchestrate an account takeover. In virtual meetings, fraudsters might utilize deepfake audio and video to impersonate high-level executives, job applicants, or employees, which could potentially lead to unauthorized access or fraudulent money transfers.

Why enterprise communications are a prime target

AI: Sword vs. shield

As Opus Research explains, voice authentication is also built using AI, the same technology at the core of audio deepfakes. In this case, AI is both the weapon and the defense against the weapon. Building a robust deepfake defense requires an understanding that AI can also act as a shield against scammers, even when those attacks themselves are powered by AI.

The case for deepfake defense

Defense in the contact center

Building on existing multifactor authentication and fraud detection, deepfake detection provides an additional protective layer. By analyzing unique characteristics of human speech like intonation and rhythm, deepfake detection can distinguish between human callers and synthetic audio early in the call. Armed with this knowledge, the contact center agent can make informed decisions and catch fraud before it escalates.

Defense in virtual meetings

Virtual meetings require a multilayered and robust security strategy. When participant authentication, location intelligence, and deepfake detection are enabled in meetings, potential risk signals are surfaced early. With this knowledge, hosts can stop scams before they move forward.

Build a proactive defense strategy

Pindrop^® Pulse, a robust deepfake detection technology, offers solutions for both channels of communication.

Pulse for contact centers layers with Pindrop^® Protect and/or Pindrop^® Passport to provide multifactor authentication, fraud detection, and deepfake detection—offering end-to-end security support for customer calls.

Pulse for meetings integrates with major conferencing platforms to deliver real-time alerts based on deepfake detection, participant authentication, and location intelligence.

Learn how you can equip your organization with the proper security strategy today. Meet with an expert.