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Applicant Fraud Detection: Tofu and Gem Partner to Secure Hiring
Recruiting has quietly entered a crisis and applicant fraud detection has become a necessity. 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.
In many technical roles, we are seeing that more than 50% of applications are now fraudulent. Recruiters feel this pain every day in the form of wasted cycles and ghosted interviews, while IT teams worry about the security implications. Yet, traditionally, security measures like background checks only happen at the very end of the process—long after the time has been wasted.
That changes today.
We are incredibly excited to announce a strategic partnership with Gem to embed Tofu’s applicant fraud detection directly into their ATS and AI Review products.
the threat landscape has shifted. We are no longer just dealing with exaggerated resumes; we are dealing with organized identity theft and sophisticated evasion tactics.
Deepfakes: Candidates using real-time AI face swaps during video interviews to impersonate others.
Identity Farming: Single bad actors applying to thousands of roles using stolen data to see which "stick."
Scripted Applications: AI agents flooding portals with "perfect" resumes to overwhelm human recruiters.
In this environment, applicant fraud detection is the only way to ensure your team is talking to real people.
Why Recruiting Needs a Security Layer
The threat landscape has shifted. We are no longer just dealing with exaggerated resumes; we are dealing with organized identity theft and sophisticated evasion tactics.
Deepfakes: Candidates using real-time AI face swaps during video interviews to impersonate others.
Identity Farming: Single bad actors applying to thousands of roles using stolen data to see which "stick."
Scripted Applications: AI agents flooding portals with "perfect" resumes to overwhelm human recruiters.
Proxies: Domestic US residents assisting foreign state-actors to infiltrate companies via the hiring process.
In this environment, applicant fraud detection is the only way to ensure your team is talking to real people with genuine interests and motives.
The Rise of the AI-Generated Candidate
The barrier to entry for fraud has never been lower. With a few prompts, a bad actor can generate a perfectly tailored resume, a LinkedIn profile with a deepfake headshot, and a history of realistic-looking work experience. When these applications hit a standard ATS, they look like "Gold" candidates.
This creates a "Denial of Service" (DoS) attack on your recruiting team. By flooding the pipeline with high-quality fakes, bad actors push legitimate candidates to the bottom of the pile, causing your team to lose out on top talent while chasing ghosts. Effective applicant fraud detection acts as the filter that restores sanity to the process.
Introducing the Gem Fraud Detection Agent
Through this partnership, Tofu will power Gem’s new Fraud Detection Agent, an AI tool designed to catch fraudulent job applications before they waste recruiter time or become security threats.
Instead of treating identity verification as a final "checkbox" step, this integration moves it to the top of the funnel—where it belongs.
How it works: Much like a spam filter for your email, the Fraud Detection Agent runs automatically in the background. As applications are submitted, Tofu’s engine evaluates multiple signals simultaneously, including resume metadata, email/phone verification, LinkedIn activity, and device data.
Rather than just flagging individual issues and leaving recruiters to guess, the system assigns a clear risk assessment (High, Medium, or Low) with a detailed explanation of why an application was flagged.
Why Tofu x Gem?
We partnered with Gem because they recognized a critical flaw in the modern hiring stack: ATS platforms were built for managing candidates, not vetting identities.
Steve and the Gem team realized that in a world where fraudsters use sophisticated AI, relying on human recruiters to manually spot suspicious markers is a losing battle. They wanted to solve this problem without adding friction or forcing recruiters to act as private investigators.
We joined forces because the solution required two distinct capabilities working in tandem:
The Workflow: Gem provides the seamless, friction-free experience recruiters love.
The Intelligence: Tofu provides the specialized fraud engine, trained on over 5 million applicants and billions of data points.
By embedding Tofu’s engine inside Gem’s platform, we are solving the problem at its root. We aren't just flagging signals; we are providing an automated, definitive risk assessment the moment a candidate applies.
The Future of Hiring is Verified
This partnership marks a major step toward building the default fraud and security platform for recruiting. We are helping teams stop fraud early and embed security directly into the hiring workflow without adding friction for candidates or recruiters.
Read more about the story:
To learn more about Tofu's applicant fraud detection tools, click here.
FAQs
What is the Gem Fraud Detection Agent?
The Fraud Detection Agent is a new AI tool within Gem, powered by Tofu, that automatically scans incoming job applications to identify and flag fraudulent candidates, fake identities, and AI-generated spam.
How does Tofu detect fraudulent applicants?
Tofu analyzes billions of data points, including resume metadata, email and phone validity, IP addresses, and cross-reference checks against known fraud networks to assign a risk score to every applicant.
Will this slow down my hiring process?
No. The detection happens instantly in the background as applications arrive. It actually speeds up the process by removing fake candidates from the queue, allowing recruiters to focus solely on legitimate talent.
