Detect, eliminate, and
prevent hiring fraud
with AI.
Flag suspicious profiles upfront with data-driven fraud tools, so you never waste time interviewing fake candidates.
Trusted by leading companies.
Powered by the industry's largest resume fraud database.
5M+ profiles analyzed
Tofu agents have analyzed over 5 million applicant profiles across top hiring teams, learning the exact patterns that reveal fraud.
4B+ data points
Our models are validated across 4 billion data points — cross-referencing identity, employment history, credentials, and device signals.
Always-on detection
Tofu runs automatically the moment a candidate hits your ATS, flagging fake applications before they ever reach a recruiter's screen.
Stop fraud before it costs you.
Detect fraud patterns and filter fake applicants before they reach your pipeline.Tofu agents analyze millions of applicants to detect fraud patterns and filter fake applicants when they reach your ATS — keeping your pipeline secure through advanced recruitment fraud detection.
Validate & Verify
Candidate identity verification that focuses your team on real applicants.
Tofu's candidate identity verification leverages dozens of open and closed-source databases to validate candidates across 4 billion people data points — a faster, smarter background check alternative. Flag suspicious profiles in seconds with high accuracy, so you only spend time reviewing genuine candidates instead of wasting hours on fake applications.
Identity Verification
Reject bad actors instantly.
Tofu automatically labels each applicant so you can reject suspicious or fraudulent profiles with one action. Stop reviewing fake candidates individually and clear them out fast.
Secure Screening
Customize your resume fraud detection signals.
Integrate your own signals into our resume fraud detection models. Our system adapts to the unique fraud patterns you're seeing.
Candidate identity verification that focuses your team on real applicants.
Validate & Verify
Tofu's candidate identity verification leverages dozens of open and closed-source databases to validate candidates across 4 billion people data points — a faster, smarter background check alternative. Flag suspicious profiles in seconds with high accuracy, so you only spend time reviewing genuine candidates instead of wasting hours on fake applications.
Reject bad actors instantly.
Identity Verification
Tofu automatically labels each applicant so you can reject suspicious or fraudulent profiles with one action. Stop reviewing fake candidates individually and clear them out fast.
Customize your resume fraud detection signals.
Secure Screening
Integrate your own signals into our resume fraud detection models. Our system adapts to the unique fraud patterns you're seeing.
The Cost of One
Bad Hire.
OFAC operates on strict liability. Hire someone from a sanctioned country — even unknowingly — and every paycheck becomes a separate federal violation. No intent required.
ATS fraud detection built right into your workflow.
Fraud Agents work directly inside your ATS.Applicant tracking fraud thrives when bad actors exploit gaps between your ATS and verification workflows. Tofu eliminates those gaps. Fraud Agents label fraudulent applicants directly in your ATS and adds 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.
Types of hiring fraud tofu detects.
01
Proxy interviewer fraud
Candidates sometimes hire substitutes to complete technical interviews, then present themselves as different individuals on day one. Tofu detects identity mismatches and behavioral indicators.
02
Deepfake interview fraud
Bad actors use AI-generated video and audio to impersonate candidates during live interviews or conceal their true identity. Tofu's detection system uses behavioral and identity markers to identify fraudulent candidates.
03
Synthetic identity fraud
Fraudsters combine legitimate and fabricated information — authentic employment records, valid credentials, and false contact information — to establish synthetic identities that circumvent standard screening.
04
State-sponsored IT worker fraud
Foreign threat actors leverage stolen identities, VPNs, and proxies to access remote technical roles. North Korean IT worker fraud rings — identified by the FBI, OFAC, and other agencies — represent a documented and growing concern.
05
Location spoofing
Fraudulent applicants mask their geographic location using VPNs, proxies, and GPS tools to conceal applications from sanctioned countries or misrepresent remote work eligibility.
Types of hiring fraud tofu detects.
Hire with confidence. Every time.
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.