Resume fraud: what it costs employers and how to catch it early

TL;DR

Resume fraud is more common than most hiring teams assume, and it's usually invisible to a fit ranking because fraud and fit are two different signals answering two different questions.

• Gartner projects that by 2028, roughly 1 in 4 job applicants globally could be fake in some way, from fabricated experience to a fully fictitious identity.
• Brainner has analyzed over 1 million applicants and 3.5 billion data points across its platform, surfacing more than 20 distinct fraud patterns.
• Those patterns fall into four recurring types: candidates who exaggerate real experience, candidates who fabricate it entirely, candidates who apply under someone else's identity, and candidates who let someone else do the work after being hired.
• A resume can look like a perfect fit and still come from someone who isn't who they claim to be, because fit scoring and identity checking are separate questions.
• Catching this early means checking identity signals like phone type and fraud history, email age, and LinkedIn consistency, before a recruiter spends time on the application.

Why resume fraud is easy to miss

Most hiring processes are built to answer one question: does this candidate look right for the role. Fit ranking, whether it's a recruiter reading a resume or software scoring one, is optimized for exactly that. It's not built to catch a candidate who looks right for the role but isn't who they say they are.

That gap is bigger than it seems. Gartner projects that by 2028, close to 1 in 4 job applicants globally could involve some form of fraud, whether that's inflated experience, a fabricated work history, or someone applying under a different identity altogether. None of that shows up in a fit score, because fit and identity are answering different questions.

What Brainner's data shows about how candidates fake it

Across more than 1 million applicants and 3.5 billion data points on its platform, Brainner has identified more than 20 recurring fraud patterns. Most of them fall into four broad types.

• The exaggerator: someone with real experience who inflates their role, seniority, or results well past what they actually did.
• The fabricator: someone who invents experience, employers, or credentials that don't exist at all.
• The impostor: someone applying under an identity that isn't theirs, sometimes using a real person's information without their knowledge.
• The stand-in: someone who interviews and gets hired, then has a different person actually do the job.

These are patterns in the data, not labels Brainner puts on a candidate. A flag means a recruiter should look closer, not that someone is guilty of anything.

The signals that catch fraud before a recruiter does

Fit ranking and identity checking need different inputs entirely. Fit comes from reading a resume against a role's criteria. Identity comes from signals that have nothing to do with what's written on the resume: the type of phone number an applicant used and any fraud history tied to that number, how old and consistent their email address is, and whether their LinkedIn profile matches their resume at all.

Brainner's identity check runs these signals automatically and flags an applicant as High Risk or Flagged before a recruiter ever opens the application. The recruiter still makes every decision. The flag just means they're reviewing it with the full picture instead of a resume that reads well on its own.

What this costs employers who miss it

A fraudulent hire doesn't just waste a hiring cycle. Depending on the role, it can mean paying someone who isn't doing the work, onboarding someone into systems they shouldn't have access to, or discovering months in that the person doing the job isn't the person who interviewed for it. The cost compounds the later it's caught, which is exactly why identity checks need to run at the application stage, not after an offer goes out.

Brainner works on top of the ATS a hiring team already uses (Greenhouse, Lever, Workday, iCIMS, BambooHR, Workable, JazzHR, Recruitee, SmartRecruiters, Ashby, Zoho Recruit, and Teamtailor, and likely others on request), syncing fraud flags and Fit rankings back into it in real time, so this check happens automatically alongside screening instead of as a separate step someone has to remember to run.

Try Brainner free, or book a demo to see how identity checks and Fit ranking work together on your own applications.