Nearly every talent leader we speak with has at least one story of candidate fraud. Someone using AI to answer questions, a candidate misrepresenting their location, and, more and more commonly, candidates using deepfakes to disguise who they are.
The risk has grown alongside the rise of remote and global hiring, with rapid advances in AI making it easier for bad actors to fabricate credentials and hide their identities at scale. By 2028, Gartner projects that 1 in 4 candidate profiles could be fake and in one recent survey, 41% of enterprise leaders said their company had already hired and onboarded a fraudulent candidate.
This puts talent teams up against an impossible challenge. They’re expected to catch fraud, but don’t have the tools to do it. Document checks can be faked and, once the interview starts, there’s no real way to verify identity or confidently spot fraud signals. Increasingly, the interview has become where fraud goes undetected.
That’s the blind spot we’ve set out to close. Today, we’re introducing the first fraud detection tool built directly into your interview workflow on BrightHire with proprietary signals and deep-fake detection technology powered by Zoom. Candidate fraud signals are detected automatically across every interview with reviewable evidence, enabling talent teams to make more confident hiring decisions.
Detecting candidate fraud where it matters most
BrightHire surfaces fraud signals from your interviews and brings them into one clear view your team can act on. Here’s what teams can expect:
Coverage across the entire interview process. Detection runs from your AI screening interviews on BrightHire Screen through every live interview, so signals get raised wherever fraud appears, not just at a single checkpoint a bad actor can plan around.
Detection built into your hiring platform. Fraud detection lives in the platform your team already uses to interview, so there’s nothing new to deploy, no agent for candidates to install, and no separate data flow for IT to vet. BrightHire joins interviews automatically and surfaces signals right alongside the evaluation and transcript, with deep ATS integrations keeping everything connected to the systems your team already works in.
One defensible view of risk. BrightHire pulls signals across behavior, identity, device, and context into a single, scalable view, so your team sees the full picture across a candidate and across your pipeline. Every signal links back to the moment that triggered it, so your team can make evidence-backed decisions with audit-ready records.
Exclusive fraud signals on Zoom. For BrightHire customers using Zoom, fraud detection is powered by Zoom data and proprietary signals that no other platform can provide and surfaced alongside the evaluation and transcript.
Protecting the integrity of every hire
The interview is where teams build the trust and context that lead to a great hire. Protecting that is core to what we set out to do at BrightHire: give everyone the hiring experience they deserve. With Zoom, we’re able to innovate even faster and scale at the pace of our ambition.
“Bringing BrightHire and Zoom together lets us deliver something truly unique to the market. 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.” — Brendan Ittelson, Chief Ecosystem Officer at Zoom.
Catching fraud in the interview means recruiters can trust who they’re talking to and every hire is one your team can stand behind.
Learn more about how your team can protect the integrity of every hire.
