What does Tofu actually do?

Tofu connects to your ATS and screens applications for fraud risk, including identity theft and synthetic identities. It also analyzes interviews in real time to detect deepfakes and proxy candidates. A third feature, the AI applicant reviewer, ranks candidates against your job criteria.

How does Tofu detect fraud?

Tofu validates applicants across 4+ billion data points and its proprietary Fraudbase built from 5M+ analyzed profiles. It flags identity theft, impersonation, synthetic identities, state-sponsored actors, and location spoofing by detecting hidden patterns that reveal fake applications.

What interview platforms does Tofu support?

Tofu integrates with Zoom, Google Meet, Teams, and AI note-takers to analyze interviews in real time for synthetic audio, video, deepfakes, and candidates swapping places.

How does Tofu integrate with my ATS?

Tofu sits on top of your ATS and sees every application entering your hiring funnel. It has documented integrations with platforms like Greenhouse Recruiting, and likely supports others. Contact Tofu for a full list of compatible systems.

Can I customize Tofu's screening criteria?

Yes. You can build custom AI Screening Agents for each job and train them using profiles of your previous hires or sourced leads. Tofu's AI learns the traits that matter to your hiring and ranks applicants based on real experience and skills.

Is Tofu compliant with privacy regulations?

Tofu is SOC 2 and GDPR compliant, meaning it meets security and data protection standards. It also carries Warden AI Assurance certification.

Verification

Tofu

Candidate fraud detection for hiring and security teams.

What is Tofu?

Tofu is an AI hiring fraud detection platform that screens applicants for synthetic identities, impersonation, location spoofing, and deepfake usage, both at the application stage and during interviews on Zoom, Google Meet, or Teams. It also runs AI resume review against role criteria, but its differentiating function is the fraud layer, flagging proxy candidates and AI-generated overlays before a hiring manager interviews someone who isn't who they claim to be. Your team reviews flagged applicants inside your ATS; Effi Flo handles the integration that gets Tofu watching your full funnel.

Features

What are Tofu's key features?

Real-time video analysis flags synthetic audio and face-swaps during interviews.

Cross-references 4+ billion data points against a proprietary fraud database.

Targets AI-fabricated interview identities, not criminal or employment history.

Native integration with Zoom, Google Meet, Teams, and common AI notetakers.

A flagged bad actor is recognized across Tofu's entire customer network.

Use Cases

How do recruiting teams use Tofu?

An in-house TA team in tech or fintech uses Tofu's fraud detection layer to flag synthetic identities and AI-generated applications the moment they hit the ATS, before a recruiter invests time reviewing a fabricated profile.
A multi-desk agency placing candidates in remote technical roles uses Tofu's deepfake and proxy-interviewer detection to catch seat-swapping and impersonation during live video interviews, a risk that has grown significantly as distributed hiring has scaled.
A hiring team interviewing fully remote applicants sets Tofu to flag any candidate whose location, device, or video signals don't match their claimed identity, before a recruiter schedules the call.

Fit

Who is Tofu best for?

In-house teams hiring remotely where fake applications - deepfakes, proxy interviewers, synthetic identities - have become a real and rising operational problem
Organizations needing to screen for sanctions risk, including unknowingly hiring from restricted jurisdictions, which carries real legal and compliance liability
A fit when the problem isn't verifying what's true about a real candidate but confirming the candidate is who they claim to be before any interview takes place

Pros & Cons

What are Tofu's pros and cons?

Pros

Detects multiple fraud types simultaneously across the entire hiring funnel, from application to interview
Real-time deepfake and proxy detection during live interviews without slowing down hiring process
Integrates with major ATS platforms and common interview tools, reducing implementation friction
Allows custom training on your own hire profiles, tailoring screening to your actual hiring criteria

Cons

Fraud detection relies on proprietary Fraudbase, so effectiveness depends on database completeness and updates
Deepfake detection limited to supported platforms (Zoom, Google Meet, Teams) and AI note-takers
Pricing and detailed feature tiers not disclosed in sources, requiring demo or contact for cost clarity

FAQ

Frequently asked questions about Tofu

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