The problem
Manual ID verification is slow and easily fooled. Deepfake technology makes video impersonation increasingly viable. Proxy candidates can complete assessments for job seekers without detection using basic verification.
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Deepfake and proxy detection layer. Liveness verification with security controls mapped to SOC 2, where identifiers are masked on-device to protect the integrity of remote assessments.
Recording · 12:40
Identity verifiedWalk me through how you would handle a missed deadline with a client.
Manual ID verification is slow and easily fooled. Deepfake technology makes video impersonation increasingly viable. Proxy candidates can complete assessments for job seekers without detection using basic verification.
Liveness Verify checks that a real person is present, watches session signals for consistency and checks video for signs of synthetic media. Possible issues are flagged for your team to review; people decide what happens next.
Liveness checks confirm a real person is present at the start of a session.
Session signals, such as IP consistency, are checked from start to finish.
Video is checked for signs of synthetic or manipulated media.
Liveness and session signals and session video are used only for session integrity, shown to your team for review and kept under the same retention as other candidate data. Employers are responsible for any candidate notice and consent their local law requires (for example, Illinois BIPA).
Dana R. reviewed the transcriptLiveness Verify runs throughout assessments and interviews, providing continuous verification without disrupting the candidate experience. Alerts trigger only when genuine integrity concerns arise.








GreenhouseLeverWorkdayID checks that are slow and easy to fool.
Liveness and deepfake checks across the whole assessment, with alerts only when something looks wrong.
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Liveness Verify checks video streams for synthetic media signatures and other deepfake indicators in real time. Possible issues are flagged for your team to review.
Identifiers are masked on the candidate's device before data leaves it, and only the signals needed to check session integrity are used. Integrity alerts go to your team, and people decide what happens next.
Verification runs throughout assessment sessions but operates transparently. Candidates experience normal interactions unless integrity concerns are detected.