The Applicant Fraud Detection API
for Hiring Platforms.
Integrate enterprise-grade identity verification directly into your ATS or security tool. Detect fake candidates, deepfakes and North Korean IT worker schemes with a single API call.
Trusted by leading companies.
Purpose-Built to stop hiring fraud.
Fraud detection layer for recruiting platforms.
Stop bad actors from spamming your customers with fake applications. Give recruiters on your platform full visibility into candidate authenticity.
Seamless integration.
Designed to fit naturally into existing hiring workflows. Connect in minutes via API, ATS integration, or Chrome Extension.
Always-on protection.
Tofu's fraud engine plugs directly into your pipeline — running automatically at every stage so your team only sees verified candidates.
Detect fraud at every stage.
Purpose-built fraud detection infrastructure that scales with your platform — from identity verification to deepfake analysis.
Detect
Purpose-Built to Stop Hiring Fraud.
North Korean IT Worker Schemes
Identify known patterns, device fingerprints, and IP inconsistencies specifically linked to nation-state fraud rings.
Fake Resumes & Deepfakes
Catch AI-generated identities, synthetic media, and script-based mass applications instantly.
Cross-Reference Intelligence
Validate applicant claims against millions of real-world data points specific to the employment sector.
Scale
Enterprise-Scale Reliability.
99.9% API Uptime
Reliable infrastructure that scales with your platform without breaking a sweat.
< 200ms Low-Latency
Real-time responses designed for instant user feedback and automated decision-making.
SOC 2 Security First
SOC 2 Type II compliant* and built with data privacy at the core of every decision.
Analyse
Deep Network Intelligence & 40+ Fraud Signals.
Network Effects
When a bad actor is flagged by one Tofu customer, they are instantly recognized across our entire network.
Real-Time Scoring
Receive a simple risk score and detailed fraud reasons payload in milliseconds to power automated decision-making.
Device & IP Fingerprinting
Go beyond basic location checks with deep scrutiny of VPNs, proxies, and device emulation used by fraud farms.
Detect fraud at every stage.
Purpose-built fraud detection infrastructure that scales with your platform — from identity verification to deepfake analysis.
Purpose-Built to Stop Hiring Fraud.
North Korean IT Worker Schemes
Identify known patterns, device fingerprints, and IP inconsistencies specifically linked to nation-state fraud rings.
Fake Resumes & Deepfakes
Catch AI-generated identities, synthetic media, and script-based mass applications instantly.
Cross-Reference Intelligence
Validate applicant claims against millions of real-world data points specific to the employment sector.
We connect to every 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.
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.