Real-Time Deepfake Detection for Onboarding Catches Fake Applicants

UK universities caught applicants using deepfakes in remote admission interviews. A different face on the video call, a different voice answering the questions. The person who earned the place was not the person who showed up.

How it worked

Real-time face-swap tools run live on video calls now. The applicant sits in front of a camera while software maps another face onto theirs in real time. Add a voice changer and the illusion is complete. Remote interviews, designed for convenience, became an attack surface.

Universities caught on when answers did not match applications, or when the video glitched. But how many did not glitch? Every university running remote interviews should be adding verification steps now. Most are not.

Detection angle

Real-time deepfake detection for onboarding is built for exactly this: analysing live video for face-swap artefacts during the call. Detect deepfake videos in onboarding with liveness checks and synthetic-media screening. Deepfake detection for remote onboarding plus KYC deepfake detection closes the loop: verify the face, verify the document, verify they match.

Remote admissions need the same verification rigour as remote banking. If a university cannot confirm who it admitted, the degree means less. Catch it at the interview, not at graduation. The same real-time deepfake tools work for job interviews and remote exams. Any high-stakes video call is now a potential attack surface.