Fraud has changed.
Your defenses should, too.
63% of hiring teams have already rewritten their process this year to fight hiring fraud, and the risk keeps rising. A fraudulent hire means legal liability, regulatory exposure, and a hit to customer trust.
60%
of hiring managers have caught a candidate lying about their experience or qualifications
35%
of hiring managers confirmed someone other than the listed applicant showed up to a virtual interview in their organization
62%
of hiring managers believe fraudsters now outpace their ability to detect fake identities
Fraud detection that gets smarter with every hire
Over 140,000 employers already rely on Checkr's intelligent verifications. Now, we're bringing that same intelligence to the front lines of fraud.
Explore fraud detection resources
- What is hiring fraud?
- How has AI changed the hiring fraud landscape?
- Is hiring fraud actually happening, or is this a hypothetical risk?
- What types of hiring fraud does Checkr detect?
- What is identity verification, and how is it different from a background check?
- Can Checkr’s fraud detection tools be used for remote hiring?
Ready to run background checks the modern way?
Frequently asked questions
Hiring fraud: Your questions answered
What is hiring fraud?
Hiring fraud occurs when a candidate misrepresents their identity, credentials, or work history to gain employment. It exists on a spectrum: from embellishment (inflating job titles or responsibilities) to misrepresentation (using fake degrees, licenses, or pay stubs) to outright impersonation (creating a synthetic identity or stealing a real person’s).
As AI tools have become widely available, all three forms of fraud have become easier to execute and harder to detect with traditional screening methods.
How has AI changed the hiring fraud landscape?
AI has dramatically lowered the cost and complexity of creating convincing fake personas. Generative AI can produce synthetic resumes and professional profiles that are difficult to distinguish from real ones. Deepfake technology enables bad actors to impersonate candidates during video interviews. And widespread data breaches have made personal information easy to obtain, enabling stolen-identity attacks at scale.
Traditional one-time background checks weren’t designed to detect these threats. That’s the gap Checkr’s fraud detection suite closes.
Is hiring fraud actually happening, or is this a hypothetical risk?
It’s not hypothetical. In August 2026, the Wall Street Journal reported how thousands of North Korean operatives use fake and stolen identities to get and hold jobs at US companies, sending up to $800 million a year back to the DPRK. Fraud also shows up in other ways - embellishing a resume, sharing fake pay stubs or licenses, or impersonation like the DPRK case above.
What types of hiring fraud does Checkr detect?
Checkr’s fraud detection suite addresses the three types of hiring fraud, in ascending order of seriousness: embellishment, misrepresentation, and impersonation.
Type of Hiring Fraud | Description | How Checkr Helps |
|---|---|---|
Embellishment | Candidates elevate job titles, hide employment gaps, exaggerate their prior work responsibilities, etc. | AI resume fraud detection flags inflated credentials and suspicious resume patterns. |
Misrepresentation | Candidates use fake employment paystubs, fake degrees and transcripts, fake professional licenses, fake I-9 work authorization documents, etc. | PII misuse detection surfaces cases where a candidate provides an SSN that belongs to another person. |
Impersonation | Candidates create a synthetic identity or steal another person’s identity. | Identity verification with liveness detection and NIST Level 2–certified deepfake detection confirms the candidate is a real, present person with a verified identity. |
What is identity verification, and how is it different from a background check?
A background check looks at a candidate’s history—criminal records, employment, and education. Identity verification confirms that the person submitting that background check is actually who they claim to be.
Checkr’s identity verification uses government-issued ID authentication, live selfie matching, liveness detection, and NIST Level 2–certified deepfake detection. It can be deployed at any stage of the hiring process—from initial application through onboarding—and takes approximately two minutes of the candidate’s time, with no external accounts required.
Can Checkr’s fraud detection tools be used for remote hiring?
Yes. Checkr’s fraud detection suite was built with the modern, remote-first hiring environment in mind. Identity verification is fully digital—candidates complete it on their own device in approximately two minutes, with no in-person visits or external accounts required.
AI resume fraud detection and PII misuse detection work automatically in the background, regardless of where a candidate is located.
Disclaimer
The resources provided here are for educational purposes only and do not constitute legal advice. We advise you to consult your own counsel if you have legal questions related to your specific practices and compliance with applicable laws.
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Leave the fraud detection to us.
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