Candidate fraud is on the rise, and it has a new look.
Candidate fraud has been around for as long as… well, for as long as competitive hiring has been in place. For decades, it involved small embellishments.
Resume & Credential Fraud
Skills Misrepresentation
Employment Gap Concealment
Just a few examples of ways that candidates could engage in fraudulent behavior. But times have changed, and quickly.
According to a recent report from Greenhouse, 28% of candidates now admit to using AI to generate fake work samples. Even our own data reveals that up to 34% of our inbound applications are highly likely to be fake, fraudulent, or shell profiles.
How truly widespread candidate fraud is debatable, but the data makes it clear that the issue cannot be ignored. So what changed? Two major disruptions are at the root:
- The explosion of remote work during the COVID-19 pandemic has led to remote-first hiring.
- The rapid rise of AI technology has made candidate fraud exponentially more sophisticated.
As AI-driven tech has grown in capability, so have bad actors using this tech to de-fraud organizations around the world. There’s a third factor that has combined with these two realities to create the perfect environment for candidate fraud to thrive: laziness. Bad processes, or a lack thereof, create the capability for bad actors to take advantage of the traditional model. We’ve identified 30 different touchpoints throughout the candidate journey, and at each of those touchpoints is an opportunity for fraud. In order to mitigate risk, we’ve had to layer in different tools, policies, and procedures at every step of the process. When organizations refuse to take a step back and identify the gaps in their hiring process, that’s when fraud is most likely to occur. The organizations and firms that are most vulnerable are the ones that rely on what has always worked. If they are not evolving at the speed of which bad actors are, then they will be a step behind, opening them up to attacks.
Candidate Fraud: What to Look For
Fighting candidate fraud begins with identity – proving the candidate is who they say they are. For Robert Bouchard, Chief Digital Officer, that means looking at multiple different angles.
“We’re looking at when was the LinkedIn profile date created? How new is that profile? The amount of connections that those individuals have. We’re also looking as far as geo-fencing and IP detection. Where does the individual actually physically sit? And we’re seeing a lot of individuals that are coming from Southeast Asia, Eastern Europe, and Africa, as well as parts of South America. And so, those aren’t individuals that are based in the US that are hitting our systems. There’s a global aspect to it.”
Some of the common methods candidates may use include:
- Identity theft and impersonation: Fraudsters assume the identity of a real person to apply for roles, meaning the candidate in the process is not the person they claim to be.
- Synthetic identities: Rather than stealing a real person’s identity outright, bad actors construct entirely fabricated identities that appear legitimate on paper.
- Falsified credentials and resumes: Candidates misrepresent their education, certifications, employment history, or skills, often aided by AI tools that generate polished, convincing resumes.
- Document manipulation: Supporting documents (diplomas, transcripts, reference letters, etc.) are altered or forged to back up fraudulent claims.
- AI-coached interviews: Beyond just the resume, candidates are using AI to coach them through interviews in real time, allowing someone with limited skills or a mismatched background to present convincingly.
As you can see, the traditional models and methods are no longer enough on their own to prevent candidate fraud on this scale. We can no longer rely on the information alone, and traditional background checks fall short because they are retrospective, validating past data rather than confirming live identity. They assume the person submitting the data actually owns it. A perfectly clean background check can belong to someone other than the person sitting in the interview. Background checks are still crucial to the hiring process, but when over-relied upon, can leave gaps wide-open.
While organizations struggle to determine what information and which individuals can genuinely be trusted, Tier4 Group has worked to implement a new model that combines the capabilities of technology and human judgement to mitigate risk at every stage of the hiring process. When you determine the right tools along with the right people to operate in them, you can begin to introduce policies and processes that can help crack down on fraudulent applicants.
A Multi-Platform, Multi-Human, Multi-Touch Reality
Fraud is not a single-point problem, so it cannot be solved with a single-point solution.
Tier4 Group’s approach is intentionally multi-dimensional. We combine:
- Multi-platform intelligence: layered technology, behavioral analytics, and cross-system verification
- Multi-human verification: trained professionals skilled in spotting anomalies and patterns
- Multi-touch workflows: iterative checks that span the complete candidate lifecycle from first contact to final interview
Despite over 30% of inbound applications reported as potentially fraudulent, our exposure is under 0.05%.
This is evidence that our model works.
That’s a remarkably low number given the volume of resume and applicants we see, even as fraud continues increasing across the broader hiring landscape. Technology alone can’t do that. Humans alone can’t do that. But together, they create a high-integrity, high-precision system. we cannot stress enough: process design matters.
What Leaders Can do to Mitigate Candidate Fraud
Every organization’s situation is going to be unique as no two hiring processes are exactly the same, but there are specific actions that you can take to make sure that you are preventing candidate fraud without losing hiring velocity.
1. Validate skills and verified history, not just one or the other. Skills-based hiring is valuable, but it can’t stand alone. Fraudsters have gotten very good at demonstrating competency in interviews (especially with AI coaching). Pairing skills assessment with rigorous credential and history verification closes that gap.
2. Move from single checks to layered workflows. A background check run once, at the end of the process, is a relic. Leaders should redesign their hiring workflows to include multiple verification touchpoints at different stages, including before the interview, during it, and before an offer is extended. Each layer catches what the others miss. If you’re verifying an identity following the initial conversation, it might already be too late.
3. Train your teams to recognize modern, pattern-based fraud. Fraud detection can’t live only in HR or compliance. Recruiters, hiring managers, and anyone involved in the process should be trained to spot the signals of modern fraud that include inconsistencies across platforms, behavior that doesn’t match credentials, and documents that look clean but feel off. Fraud is now an operating model issue, and the whole team needs to be equipped accordingly.
What a Legitimate Candidate Looks Like
Finally, what does a legitimate candidate look like? Here are the signs:
Digital Presence & Identity
A legitimate candidate has a LinkedIn profile with an established creation date, not recently spun up. They have a meaningful number of connections that reflects a real professional network built over time. Their IP address and geo-location align with where they claim to be based, and their digital footprint is consistent across platforms. The same name, history, and narrative should appear everywhere without contradictions.
Credentials & Documentation
Their resume, certifications, diplomas, and employment history are verifiable and consistent. Supporting documents hold up under scrutiny. Make sure that dates align, institutions are real, and references are reachable. There are no gaps that can’t be explained, and the story their documents tell matches the story they tell in conversation.
Interview Behavior
A real candidate’s demonstrated competency in an interview matches their documented background. We’ve even seen cases through Taylor, our digital recruiter, where a candidate used AI to match their voice to a recording. You can’t be too careful. A candidate’s responses should feel natural, unscripted, and appropriately nuanced, rather than suspiciously polished or oddly delayed in a way that suggests real-time AI coaching. They can go off-script, answer follow-up questions fluidly, and speak with genuine familiarity about their past roles and experiences.
Consistency Across the Lifecycle
Legitimate candidates are consistent at every touchpoint, from the initial application through screening, interviews, and pre-offer verification. Their information doesn’t shift or get clarified in ways that feel like course-correcting. They hold up across multiple layers of the process, not just one. This is where human judgement can play a key role. Our recruiters are trained to look for signs at every step, and we’ve often spotted fraud not because the technology caught it, but because a recruiter did.