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Hiring fraud is any form of deception that enters a company’s recruiting process with the goal of securing a job, an interview outcome, or access the person would not legitimately qualify for. It sits one level above “candidate fraud,” which describes what an individual applicant does, because hiring fraud also covers the systemic gaps, unverified remote interviews, unmonitored assessments, thin background checks, that let that deception succeed. Left unaddressed, hiring fraud does not just risk one bad hire, it risks data access, client relationships, and in some documented cases, national security.
The scale of the problem is no longer speculative. Gartner’s HR research practice found that 6% of surveyed job candidates admitted to some form of interview fraud, and separately projected that as many as one in four candidate profiles worldwide could be fake by 2028 (Gartner, July 2025). At the more serious end of the spectrum, the FBI’s Internet Crime Complaint Center has directly warned employers about criminals using deepfake video and stolen personal information to secure remote positions, particularly roles with access to sensitive systems (FBI IC3 PSA, 2022).
Three shifts are converging at once. Remote and hybrid hiring removed the physical presence check that used to make impersonation harder. Generative AI made convincing fake resumes, coached interview answers, and deepfake video far cheaper and easier to produce than even a few years ago. And high volume hiring, contact centers, IT staffing, healthcare, and gig work, creates exactly the speed pressure that fraud actors are built to exploit, since a fast, lightly verified process is a soft target.
Glider AI’s own analysis of a large financial institution’s recruiting funnel found that tightening identity verification and proctoring reduced fraudulent applicants by 23%, a concrete illustration of how much of the current exposure is process driven rather than unavoidable, documented in full in this bank recruiting case study.
An effective response treats hiring fraud as a process design problem, not just a background check line item.
Verify identity more than once. A single ID check at application is easy to route around if a different person shows up for the interview or assessment. Reconfirming identity at each major stage with government ID matching and biometric facial comparison, the approach behind Glider’s ID Verify, closes that gap directly.
Proctor remote assessments and interviews. AI proctoring watches for the behavioral and technical signals of fraud in real time, a second voice on the call, browser tabs that should not be open, a face that changes partway through a session, without requiring a recruiter to sit and watch every minute personally.
Make skills, not self reporting, the gate. A resume can claim anything. A scored skill assessment or a structured, AI led live interview forces a candidate to demonstrate the ability they claim to have, which is far harder to fake convincingly.
Bring the signals together instead of reviewing them in isolation. Identity data, proctoring flags, and assessment scores each tell part of the story, and the pattern often only becomes obvious once they are viewed side by side, which is the logic behind consolidating them into one Candidate 360 view per applicant.
Study how the tactics evolve. Fraud tactics do not stay static, teams that read up on current patterns, like the deepfake methods described in Deepfake Tech and Candidate Fraud, tend to catch new variations faster than teams relying only on a static checklist written years ago.
Hiring fraud is a business risk with a dollar figure and a headline attached, not a background check formality. The organizations getting ahead of it are treating identity verification, proctoring, and skills based evaluation as connected parts of one system, rather than three separate vendors checked off a compliance list, because that is exactly how the fraud itself works, as a connected set of gaps rather than one single point of failure.
Hiring fraud is deception introduced into the recruiting process to secure a job, an interview outcome, or system access that a person would not legitimately qualify for, including fabricated credentials, stolen or borrowed identities, proxy interviews or assessments, and deepfake video or audio used to impersonate a candidate.
Remote hiring removed the in person moment that once made impersonation easier to catch, generative AI has made convincing fake resumes and deepfake video cheap to produce, and high volume hiring creates the speed pressure that fraud actors are designed to exploit.
Effective prevention layers identity verification at multiple stages of the funnel, AI proctoring on remote assessments and interviews, and skills based testing rather than relying only on a resume, a single background check, or an unmonitored conversation.
Remote heavy, high access roles are especially exposed, including IT and software roles, financial services, healthcare staffing, and contact center or customer facing positions where a fraudulent hire can reach sensitive systems or client data quickly.
It often is, depending on the specific act. Using a stolen identity, fabricating credentials to obtain employment, or using deepfake technology to misrepresent identity during hiring can carry legal consequences in many jurisdictions, in addition to the direct business risk to the employer.
AI proctoring can flag proxy test takers, unauthorized applications running in the background, or inconsistent video and audio in real time, while AI driven identity verification can match a candidate’s face and government ID across multiple stages of the process automatically, at a scale human reviewers cannot match alone.
Costs go beyond the wasted salary of a bad hire, they can include lost productivity, damaged client relationships, data or security exposure if the role had system access, and the cost of re running the entire hiring process, which is why organizations like the financial institution in Glider’s bank recruiting case study invest specifically in reducing it.
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AI proctoring is technology that monitors a candidate during a remote assessment or interview, using video, audio, and browser activity analysis, to confirm the person taking the test is who they claim to be and that they are completing it honestly, without a human proctor needing to watch the session live. It has moved from […]
Not every impressive candidate is who they claim to be. Candidate fraud covers any attempt by an applicant to misrepresent their identity, credentials, skills, or even their physical presence during the hiring process, and it has moved from an occasional edge case to a mainstream hiring risk. Gartner’s research team has predicted that by 2028, […]
