Stop interview and video deepfake technology from tricking your hiring team. Secure your interview process with Tofu's deepfake detection and candidate swapping identification and re-establish trust in your hiring process.
Trusted by leading companies.
Secure your interview process with a single integration.
Tofu exposes interview deepfake usage by analyzing lip syncing, eye movement, facial construction, voice patterns and hints of generative AI overlay. Then Tofu ensures the candidate on the current call is the same one from the last call. Make sure the person you're speaking with is who they say they are.
Real-time detection. Zero disruption.
Tofu runs silently in the background during interviews — flagging synthetic audio, video manipulation, and proxy candidates without slowing down your hiring process.
Tofu detects deepfakes, proxy interviewers, and synthetic media in real time.
Detect
Tofu analyzes interviews in real time for signs of synthetic audio or video manipulation to detect deepfake usage. Prevent fraudsters from using AI-generated voices and facial overlays to interview on behalf of or impersonate other candidates.
Verify
Tofu tells you when a candidate shows up to an interview that is different from the first call. Help your team catch proxies or professionals that interview on behalf of the original applicant. Scale interview visibility across your entire interview process and organization.
Locate
Get real-time alerts when candidates are interviewing from unexpected locations or using suspicious devices and technologies.
Tofu detects deepfakes, proxy interviewers, and synthetic media in real time.
Tofu analyzes interviews in real time for signs of synthetic audio or video manipulation to detect deepfake usage. Prevent fraudsters from using AI-generated voices and facial overlays to interview on behalf of or impersonate other candidates.
Tofu integrates with video streaming platforms like Zoom, Google Meet, Teams and AI interview notetakers like BrightHire — analyzing interviews in real time to monitor for signs of risk.
+ 42 more ATS platforms supported
Insights, research, and updates on applicant fraud.

We pulled every case our resume fraud detection tool flagged as a possible impersonation. What we found — deepfakes, stolen LinkedIn photos, and real-time face-swapping software — was worse than we expected.
We've spent two years building one of the largest fraudulent candidate datasets in the industry — over 5M applicants, billions of data points. Here's the signal that surprised us most.

Recruiting has quietly entered a crisis. The combination of generative AI and remote work has made it incredibly easy for bad actors to flood hiring pipelines with fake identities, deepfakes, and AI-generated candidates.