In June, we introduced our answer to a problem nearly every organization is facing: candidate fraud. AI has made it easy for imposters to fake their way through interviews using stolen identities, AI-assisted answers, and deepfakes. Beyond being a hiring headache, it’s become a major security risk.
Standard hiring and identity tools weren’t built to catch fraud within the interview itself, putting the burden on recruiting teams. The answer isn’t asking them to do more. It’s giving them better tools.
BrightHire’s Candidate Fraud Detection surfaces fraud signals directly in your interviews, with the evidence behind each one, so your team can hire with confidence and stand behind every decision.
Today, it’s available to every BrightHire customer, with expanded capabilities that scale to how your team works. Here’s what you can expect:
Coverage across your interview process for every type of fraud
Candidate Fraud Detection covers every interview stage, from AI screening interviews on BrightHire Screen to live interviews, closing the gaps a single checkpoint would leave.
Fraud signals span impersonation, AI-assisted answers, deepfakes, multi-device cheating, manipulated identities, and network or location anomalies that don’t add up. Each signal traces back to a specific point in the interview, so your team can see exactly what prompted the flag.
One defensible view of risk, and the workflow to act on it
BrightHire brings every fraud signal for a candidate into one view your team can act on. Reviewers can mark a signal as reviewed, flag an interview as clean, suspicious, or bad, and leave notes the rest of the team can see. The result is a shared record of what was found, who reviewed it, and what they decided, so a flag never sits unexamined and the decision is easy to revisit later.
A signal is never a verdict, and it never triggers an automated rejection. It gives your team the evidence to investigate and decide for themselves.
Built into your hiring platform, with visibility controls and API access
Candidate Fraud Detection runs inside BrightHire, with nothing new to deploy, no agent for candidates to install, and no separate data flow for IT to vet. Signals surface right alongside the evaluation and transcript, and deep ATS integrations keep everything connected to the systems your team already works in.
Admins can now limit Candidate Fraud Detection to specific roles, such as recruiters and admins, and extend access to individual hiring teams without opening it up across the whole org.
For enterprise teams, the same signals you see in BrightHire are available through our Interview Details API: severity, risk summaries, and supporting evidence. That means you can pull integrity signals into a custom ATS integration, a security workflow, or your own reporting.
Deeper detection capabilities for teams interviewing on Zoom
For teams interviewing on Zoom, Candidate Fraud Detection goes further. It draws on real-time deepfake detection powered by Zoom’s own models, plus device, network, and location signals from the Zoom session itself, all available only to Zoom customers through BrightHire.
Detection is also available for teams interviewing on Microsoft Teams and Google Meet.
Available to every customer today
Candidate Fraud Detection is included across packages for every BrightHire customer, with nothing new to deploy or manage. Protecting the integrity of every hire is now part of the interviews your team already runs.
If you’re already using BrightHire, talk to your CSM about turning on the expanded capabilities for your team, or visit our help center to get started. If you’re new to BrightHire, book a demo to see how we protect your company from candidate fraud.
