Third-party relationships are invaluable—and easily manipulated
Vendor impersonation and partner impersonation are some of the most underestimated risks enterprises face right now. These are relationships built on trust, and they operate across external systems that are inherently harder to monitor and verify. Unlike internal communications, the channels aren’t as secure. An attacker posing as a trusted supplier just needs to send a realistic email, a cloned voice message, or a fake invoice to break through defenses.
A financial institution (and Pindrop customer) believed initially they only had a problem with deepfakes in hiring. After only deploying Pindrop Pulse® for meetings to their hiring team, an employee outside their recruiting team flagged a supposed “vendor” as suspicious. They asked for access to Pulse and, within seconds, caught a deepfake.1
Real world example
A cybersecurity company reported attackers using AI to create realistic email threads and fake invoices that looked legitimate. Payments were approved and sent before anyone realized the vendor wasn’t real.2
[!CTA]
title: Humans reliably catch AI manipulation only ~50% of the time³
text: A coin toss. That’s how good humans are at catching deepfakes. Technology purpose-built for detection is just better at spotting deepfakes than humans. This tech looks at the subtle qualities like resonance, timbre, and facial movements that separate human media from AI.
Read the datasheet to learn how it works.
button: Download the datasheet
[/]
Text
1%
Text
Text
1%
Text
Text
1%
Text
Text
Lorem ipsum dolor sit amet consectetur. Sit convallis ullamcorper et varius venenatis blandit vitae hendrerit blandit. Hac aenean tellus consectetur elit orci aenean ipsum arcu. Turpis a laoreet sit rhoncus eros penatibus facilisis dolor tempus. Vitae gravida fames nunc dui scelerisque porta nulla ut. Sit mi volutpat ipsum odio nulla sociis.
Lorem Ipsum is simply dummy
Vitae eleifend mi lorem iaculis malesuada sit adipiscing vel. Sit massa ut etiam eu.
1 Anonymous Pindrop Pulse for meetings customer.
2 Mimecast, “BEC Campaign Using AI Generated Fake Email Threads,” August 2025.
3 Cooke, Di, et al. “As Good as a Coin Toss: Human Detection of AI-Generated Content.” Communications of the ACM, edited by , vol. 68, no. 10, Sept. 2025, pp. 100–9. Crossref, https://doi.org/10.1145/3729417.




