REPORT

Pindrop: your deepfake detection partner

AI has introduced doubt into every real-time communication, which has left many security leaders at a crossroads: do you patch your current tech stack or do you rethink your identity strategy entirely? 

Since 2010, Pindrop technology has defended Fortune 500 companies and their customers against voice fraud, identity attacks, and social engineering, including 14 of the top 20 banks and 5 of the top 7 insurers. Across more than 8 billion analyzed interactions, we became experts in fraud and attack tactics.

That experience put us in front of the next wave before it even had a name.

In 2025, our own hiring pipeline came under coordinated attack. Across open roles, 1 in 6 applicants showed signs of fraud. One in 343 was linked to activity affiliated with the Democratic People's Republic of Korea (DPRK). Of those, 1 in 4 used a deepfake during a live interview.

It confirmed what the data from our enterprise customers already indicated: bad actors had moved beyond calls. The same tactics, impersonation, synthetic identity, social engineering, were now running across video meetings, job interviews, and IT helpdesk requests.

Pindrop technology is built on three trust engines: synthetic detection, risk analysis, and authentication. Pindrop Pulse® for Meetings brings together all three in real time, verifying voice and video in virtual meetings.

‍So your organization has the trust it needs, the moment it needs it.

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FAQs

[!FAQ]

[Q]

How many companies have been targeted by deepfake attacks?

[A]

74% of U.S. enterprise security leaders reported their organization had encountered or suspected a deepfake attack in the past 12 months. Based on Pindrop's 2026 Deepfake Readiness Index. The survey covered 250 security leaders at organizations with 1,000 or more employees.

[Q]

How much do deepfake attacks cost companies?

[A]

Among organizations that experienced or suspected a deepfake attack, almost half reported total costs of $500,000 or more, and 25% reported $1 million or more, counting direct losses, remediation, and staff time. 49% also faced a follow-on cyberattack such as ransomware. Based on Pindrop's 2026 Deepfake Readiness Index. The survey covered 250 security leaders at organizations with 1,000 or more employees.

[Q]

What percentage of enterprises have deepfake detection tools?

[A]

10%. Only one in ten security leaders said their organization had tools purpose-built to detect deepfakes, even though 93% said they were concerned about being unprepared for an attack. Based on Pindrop's 2026 Deepfake Readiness Index. The survey covered 250 security leaders at organizations with 1,000 or more employees.

[Q]

Where can I download the full Deepfake Readiness Index report?

[A]

The full report is available as a PDF download on this page.

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Methodology

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