Tofu
Candidate fraud detection for hiring and security teams
Best for
Top use cases
- Flag synthetic identities in ATS before phone screens
- Monitor live interviews for face-swaps and synthetic audio
- Run OFAC sanctions checks automatically on every applicant
Category
AI Screening & Matching
Pricing
Custom
Best for
High-volume BPO or IT staffing shops screening large volumes of remote applicants where synthetic identities and proxy interviewing are recurring risks
HQ
United States
Geography
Global
Capabilities
Tags
What is Tofu?
High-volume recruiters use Tofu to catch identity fraud and deepfakes before candidates reach interview stages. The platform scans applicants against 4+ billion data points plus a proprietary Fraudbase of 5M+ analyzed profiles, flagging synthetic identities, proxy interviewees, and state-sponsored actors in real time. It integrates with 42+ ATS connectors and validates video interviews on Zoom, Google Meet, and Microsoft Teams. Security teams rely on it for OFAC sanctions compliance in regulated industries. Pricing and ROI metrics require a demo request rather than public disclosure. Best for high-volume recruiters managing fraud risk and security-conscious organizations with compliance mandates.
What are Tofu's key features?
Fraud Agent flags identity theft, impersonation, synthetic identities, and state-sponsored actors using 4+ billion data points
Real-time deepfake detection during interviews analyzing synthetic audio, video, and face-swaps across Zoom, Google Meet, and Teams
AI Resume Screening ranks applicants based on real experience and skills while removing bias
OFAC regulatory compliance checking to prevent hiring from sanctioned countries
ATS integration labels fraudulent applicants directly in existing workflows with verification details
How do staffing agencies use Tofu?
- Flag synthetic identities in ATS before phone screens
- Monitor live interviews for face-swaps and synthetic audio
- Run OFAC sanctions checks automatically on every applicant
Who is Tofu best for?
- High-volume BPO or IT staffing shops screening large volumes of remote applicants where synthetic identities and proxy interviewing are recurring risks
- In-house TA teams at defense contractors or financial services firms with OFAC sanctions compliance mandates
- Agencies placing remote engineering or customer support roles where proxy interviewees have burned previous placements
- Security-first recruiting ops needing real-time deepfake detection during final-round Zoom or Teams interviews
What are Tofu's pros and cons?
Pros
- Detects fraud across 4+ billion data points plus proprietary Fraudbase of 5M+ analyzed profiles to catch hidden patterns
- Real-time deepfake detection during live interviews prevents bad hires at final stages and protects against regulatory violations
- Integrates directly into ATS workflows with 42+ connectors so fraud flags appear where recruiters already work
Cons
- Pricing and specific ROI calculations not transparently disclosed on public website, requiring demo request
- Tool complexity may require training for recruiting teams unfamiliar with fraud detection terminology and thresholds
- Deepfake detection effectiveness depends on interview platform compatibility and may not work with all video conferencing tools
How does Tofu compare to alternatives?
| Feature | Tofu | Eightfold AI |
|---|---|---|
| Category | AI Screening & Matching | AI Screening & Matching |
| Pricing | Enterprise | Enterprise |
| AI-first | ||
| API | ||
| MCP | ||
| GDPR | ||
| Best for | High-volume BPO or IT staffing shops screening large volumes of remote applicants where synthetic identities and proxy interviewing are recurring risks | Enterprise TA teams drowning in high-volume screening queues where manual review creates multi-week backlogs |
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Frequently asked questions about Tofu
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