Announcing our $5M seed round led by Slow Ventures and Founder Collective
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.
Tofu agents analyze millions of applicants to detect fraud patterns and filter fake applicants when they reach your ATS.
Job application fraud costs companies billions annually, from fabricated credentials to AI-generated identities. Tofu agents have analyzed 5 million applicants across top companies, learning the patterns that reveal fraud. Think of Tofu as your always-on fake resume checker: our models, built from billions of data points, detect these patterns and filter fake applicants when they reach your ATS, keeping your pipeline secure through advanced recruitment fraud detection.
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.
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.
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.
ATS fraud detection built right into your workflow.
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.
Types of hiring fraud Tofu detects
State-sponsored IT worker fraud
Foreign threat actors use stolen identities, VPNs, and proxies to infiltrate remote technical roles. North Korean IT worker fraud rings — flagged by the FBI, OFAC, and other agencies — are a growing and well-documented threat. Tofu’s FraudAgent and Fraudbase detect the applicant fraud patterns, identity theft tactics, location anomalies, and profile inconsistencies these state-sponsored fraud rings rely on.
Deepfake interview fraud
Bad actors use AI-generated video and audio to impersonate real candidates during live interviews — or mask their true identity entirely. Tofu’s deepfake interview detection uses behavioral and identity signals to flag fraudulent candidates before they advance in interviews.
Synthetic identity fraud
Fraudsters combine real and fabricated data — such as legit employment histories, credentials, and false contact details — to create synthetic identities that bypass standard screening. Tofu detects synthetic identity hiring fraud by cross-referencing billions of data points across the internet and its fraud network to surface inconsistencies invisible to human review.
Proxy interviewer fraud
Some candidates hire stand-ins to complete technical interviews or live screens on their behalf — then show up on day one as a completely different person. Tofu’s proxy interviewer detection flags identity mismatches, application patterns, and behavioral signals that indicate someone else took the interview.
Location spoofing
Fraudulent applicants use VPNs, proxies, and GPS spoofing tools to fake their geographic location — hiding the fact that they’re applying from a sanctioned country or misrepresenting their eligibility to work remotely. Tofu detects location spoofing in hiring by analyzing IP addresses, devices, document metadata, and location consistency across the application lifecycle.
Frequently Asked Questions
Don't get fooled by resume fraud again.
See how Tofu can help your team fight applicant fraud.