Verify applicants directly from your ATS.
Instantly run applicant fraud detection with a single click on full jobs, particular stages or individual applicants — without leaving your ATS.
Trusted by leading companies.
Stay in your ATS workflow.
Run applicant fraud detection from anywhere in your ATS while remaining in your existing workflow. No tab switching, no context loss.
+ 42 more ATS platforms supported
Verify applicants anywhere.
Verify applicants on entire jobs, in bulk on particular stages or individually with one click. Flexible fraud detection that fits how you work.
Results directly in your ATS.
Verification results appear directly in your ATS, updating automatically as you move through candidate profiles. No separate dashboard needed.
We connect to every ATS.
Fraud Agents work directly inside your ATS.Bad actors exploit gaps between your ATS and verification workflows. Tofu eliminates those gaps. Fraud Agents label fraudulent applicants directly in your ATS and add verification details to application notes. Everything stays in your ATS. Including you.
+ 42 more ATS platforms supported
tofu fits inside your existing stack
Works with your existing tools, syncing every action back instantly.
Verify any candidate. In one click.
More from tofu.
Insights, research, and updates on applicant fraud.
IT Worker Fraud Has an Identity Problem
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.
Resume Fraud Detection Needs A Human Score
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.
tofu. + Gem: Applicant Fraud Detection in Gem's Product Suite
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.