Trust & Safety

Zoom and BrightHire take on rising candidate fraud, including deepfake detection built into live interviews

Talent and security teams can now catch deepfakes and fraud signals inside the live interview itself — powered by Zoom's proprietary models and available only to Zoom customers through BrightHire.

3 min read

Published on June 24, 2026

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Remote hiring is the new fraud target

Candidate fraud is quickly emerging as a major security risk for companies, with the pace and sophistication of attacks increasing by the day.
 
At its core, candidate fraud occurs when bad actors misrepresent their identities or credentials to secure jobs and gain access to a company's systems, data, or funds. The threat has grown alongside remote and global hiring as well as rapid advances in AI, which enabled bad actors to fabricate credentials and hide their identities at scale.
 
By 2028, Gartner projects that 1 in 4 candidate profiles could be fake. That looks like stolen identities and deepfaked faces on the other end of the video call. And in one recent survey, 41% of IT and security leaders said their company had already hired and onboarded a fraudulent candidate. The risks associated with candidate fraud are so great that the FBI and the Department of Justice have investigated it extensively.
 
This has left recruiting and security teams, already overburdened, facing a new challenge that feels insurmountable. An ID check up front helps, but bad actors can fake documentation, and teams can’t confirm who actually joins the call or spot red flags during the interview. Manual processes and training hiring teams just aren’t enough anymore.
 
To help companies defend against fraud, BrightHire, a Zoom company, is introducing the first fraud detection tool built directly into live interviews on Zoom, finally giving organizations a better way to identify impostors that slip past document checks.
 
BrightHire now detects and surfaces candidate fraud signals directly from interviews on Zoom, powered by proprietary signals and deepfake-detection technology. This can be deployed automatically across every interview, bringing a new level of security to the hiring process. Every signal is backed by reviewable evidence, so talent and security teams have the context to decide with confidence. And because BrightHire works within the tools teams already use to hire, there are no new systems to deploy or manage.
 
"Our customers have told us that candidate fraud is one of the biggest challenges they're facing today, and it's been increasingly hard to catch,” says Ben Sesser, Co-Founder and CEO at BrightHire. “We’re bringing them a solution to a problem that feels impossible to solve, so teams can trust who they're bringing into their company."

One clear read on risk across every interview

The interview is where fraud often surfaces, and until now, where it slipped through.
 
"Bringing BrightHire and Zoom together lets us deliver something truly unique to the market," said Brendan Ittelson, Chief Ecosystem Officer at Zoom. "Fraud detection built natively into the live interview is exactly the kind of thing neither of us could deliver alone. Together, we can give customers protection that simply wasn't possible before."
 
BrightHire helps hiring teams tackle candidate fraud by:
 
  • Covering the entire hiring journey: BrightHire’s solution works from applications to AI screening interviews on BrightHire Screen, through every live video interview on Zoom. Signals get raised wherever fraud appears, not just at a single checkpoint a bad actor can plan around.

  • Detecting a suite of fraud signals: BrightHire flags indicators of fraud across the hiring process, including deepfakes and AI-assisted cheating in interviews. Each signal links back to the evidence behind it, so hiring teams can review, investigate and decide.

  • Centralizing flags into a single view of risk: Signals come together in a single view, so teams see the full picture across touchpoints and across candidates, instead of chasing one flag.

Exclusive fraud signals powered by Zoom

For Zoom customers using BrightHire, fraud detection fits directly into existing hiring workflows. BrightHire joins interviews, captures signals natively in the interview platform, and surfaces them alongside the evaluation and transcript. 
 
There are no extra tools to vet and buy, and no extra agents joining meetings. Deep ATS integrations keep fraud signals connected to the systems hiring teams already use. And this was all built, like all of BrightHire’s products, with a focus on enterprise-grade data privacy considerations.

Available now in early access

This feature set is available in early access today to Zoom Workplace customers with an active BrightHire subscription. To see how it protects the integrity of every hire, explore BrightHire →.
 

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