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Hiring has always involved a certain level of trust.
A candidate tells you where they've worked, what they know and what they can do. You review their CV, speak to them in an interview and make a decision based on the information in front of you.
But what happens when the person in front of you isn't who you think they are?
A Fortune 500 company discovered exactly that after hiring what appeared to be the perfect remote engineer. The candidate had an impressive CV, performed well in interviews and successfully made it through the application process.
Three months into the role, things started to feel different. Their communication didn't match what the team remembered from the interviews, and the quality of their work wasn't what had been promised.
The company eventually asked the employee to attend an in-person meeting.
That's when they discovered that the person who had been hired wasn't the person who had completed the interviews. A proxy had gone through the recruitment process, while the salary was ultimately being funnelled back to North Korea.
It's an extreme example, but it points to a much bigger conversation.
Candidate fraud is becoming more sophisticated. Deepfakes, proxy interviews, synthetic identities, AI-generated applications and assessment cheating are creating new challenges for organisations trying to make confident hiring decisions.
And while technology has made some of these forms of fraud easier, the underlying problem isn't new.
People have always found ways to misrepresent themselves during the hiring process. The difference today is the scale and sophistication of the tools available to them.
So, how can organisations respond?
The first step is understanding where the risks are.
How Candidate Fraud Is Evolving
Candidate fraud can take many forms. Some are relatively simple. Others involve organised operations and increasingly sophisticated technology.
Here are seven ways organisations need to be thinking about the problem.
1. Real-Time Deepfakes
Deepfake technology can now alter a person's face and voice during a virtual interview.
The technology isn't perfect, but it is improving quickly. That creates a new challenge for employers: the person appearing on screen may not necessarily be the person applying for the role.
One detection firm found fraudulent activity in as many as 30% of the suspicious sessions it examined.
For employers, that means a video interview alone isn't necessarily proof of identity.
2. Proxy Interviews
A proxy interview happens when one person completes the recruitment process on behalf of someone else.
That person could be a friend, relative or paid professional with stronger technical knowledge or better interviewing skills.
The actual candidate may only appear once the job has been offered.
In a fully remote environment, without additional identity checks or opportunities to validate the candidate's skills, this kind of substitution can go unnoticed for months.
3. Hidden AI Copilots
A candidate might appear to be answering an interview question independently while using a second screen, positioned just outside the camera's view, to generate answers in real time.
This creates an obvious problem.
A candidate may be able to provide a convincing answer without actually having the knowledge or experience required for the role.
It also raises questions about how much weight organisations should place on an unstructured conversation when there is no way to verify how the answers were produced.
4. Synthetic Identities
Synthetic identity fraud takes things a step further.
Organised groups can use stolen or rented identity documents to create false employees and place them inside organisations. In some cases, laptop farms are used to manage multiple remote workers operating under fraudulent identities.
In one case, 80 stolen identities generated more than $5 million. The FBI subsequently raided 29 laptop farms across 16 states.
This isn't simply a candidate exaggerating their experience.
It is a coordinated attempt to gain access to an organisation through the hiring process.
5. Fabricated CVs and Portfolios
AI has made it easier than ever to create a CV that appears perfectly suited to a specific job description.
A candidate can take the language from a job advert and build their CV around the exact skills, qualifications and experience an employer is looking for.
The problem is that a polished CV doesn't necessarily mean the information behind it is accurate.
A candidate can claim a degree they don't have, experience they haven't gained or technical skills they can't actually demonstrate.
This is why organisations need to be careful about treating the CV as evidence on its own.
A CV tells you what someone says they can do.
It doesn't necessarily tell you what they can actually do.
6. Assessment Cheating
Take-home assessments can be useful, but they can also create another opportunity for candidates to receive outside help.
If an assessment is untimed and there is no way to identify suspicious behaviour, a candidate could search for answers, ask someone else for help or use an AI system to complete the exercise.
That doesn't mean assessments aren't valuable.
It means the way they are designed matters.
Professionally developed psychometric assessments, for example, serve a very different purpose from an unprotected take-home exercise. Valid and reliable assessments can provide valuable evidence when they are appropriately selected and used.
The risk comes when organisations rely on assessments that aren't designed to establish whether the candidate genuinely produced the result.
7. Deepfake References
Even the reference stage isn't immune.
The person answering the phone could be an AI-generated voice, a friend or a relative following a prepared script.
A reference check that exists simply to tick a box doesn't offer much protection if the organisation can't establish who is actually providing the reference.
The bigger question becomes:
How much of the evidence collected during the hiring process can actually be trusted?
The Bigger Problem: Fragmented Hiring
Fraud can't be eliminated completely.
People have lied on CVs and sent substitutes to interviews long before AI existed. Technology hasn't created dishonesty. It has simply made some forms of it easier to execute and harder to spot.
And this is where the hiring process itself becomes important.
For many organisations, recruitment happens across a collection of disconnected tools.
Applications sit in one system. Video interviews happen somewhere else. Assessments are managed on another platform. Background checks are handled by an external provider. Information is passed between teams, systems and people along the way.
Every handover creates an opportunity for something to be missed.
A candidate might provide one version of their experience in an application and another during an interview. A reference might not match the information collected earlier. An assessment result might look impressive without any context around how it was achieved.
When the evidence lives in different places, it becomes much harder to connect those dots.
That's why the answer isn't necessarily another standalone fraud-detection tool.
The stronger approach is to create a hiring process where information is collected consistently, evidence is connected and potential inconsistencies can be identified throughout the journey.
Building a More Secure Hiring Process
There isn't one solution that can prevent every form of candidate fraud.
But organisations can make it significantly harder for fraud to succeed by strengthening the hiring process at each stage.
1. Start With a Structured Application
The traditional CV gives candidates a lot of control over the information they present.
A structured application changes that.
Instead of asking candidates to tell you whatever they think makes them look good, organisations can ask specific questions based on what the role actually requires.
This creates more consistent information across applicants and reduces the organisation's reliance on AI-generated CVs and cover letters.
The goal isn't to collect more information.
It's to collect the right information, in the same way, from everyone.
2. Test What Candidates Can Actually Do
The further the hiring process moves away from self-reported information, the more useful the evidence becomes.
Skills and knowledge assessments should be connected to the actual requirements of the role.
Where appropriate, questions should have clear answers and assessments should be designed in a way that makes it difficult to simply look up or generate a response.
The aim is simple:
Don't just ask candidates what they can do. Create opportunities for them to show you.
3. Use Valid Psychometric Assessments
Psychometric assessments can add another layer of evidence to the hiring process.
Depending on the role, this could include areas such as personality, cognitive ability, learning agility, emotional intelligence or strategic ability.
The important part is that the assessment should be appropriate for the role, valid and reliable, and supported by relevant norms.
It also shouldn't be used in isolation.
When psychometric results are considered alongside other evidence, they can help recruiters identify areas to explore further.
For example, if someone describes themselves as a highly collaborative team player, the assessment results may provide another perspective that can be explored during the interview.
The value isn't in finding one definitive answer about a candidate.
It's in building a fuller picture.
4. Make Interviews More Structured
A structured interview gives every candidate the same opportunity to demonstrate their capabilities.
Questions can be designed around the requirements of the role and the organisation's environment, with consistent preparation and response times.
One-way video interviews can also provide another layer of structure while giving recruiters the opportunity to review responses and identify potential inconsistencies.
That doesn't mean there is no place for a more informal conversation.
A conversation with a finalist can still be valuable when you're thinking about team dynamics and culture.
The key is not to let an informal conversation become the main source of evidence about whether someone can actually do the job.
5. Bring Identity and Background Checks Into the Process
Identity verification and background checks shouldn't feel like something that happens separately from recruitment.
Depending on the role and legal requirements, organisations may need to verify identity, criminal records, credit history, fraud or other relevant requirements.
These checks can become even more useful when they form part of the same hiring process.
Instead of having information scattered across different providers and systems, organisations can create a more complete evidence trail from application through to appointment.
That makes it easier to identify issues before a hiring decision is made, rather than after someone has already joined the organisation.
The Goal Isn't a Perfect Hiring Process
No hiring process can guarantee that every fraudulent application will be caught.
The goal is to make it harder for fraud to move through the process unnoticed.
That starts with asking a different question.
Instead of asking, "How do we detect every possible form of candidate fraud?", organisations can ask:
"How do we build a hiring process that gives us better evidence at every stage?"
Structured applications. Relevant skills assessments. Valid psychometric assessments. Consistent interviews. Identity and background checks.
Each one adds another piece to the picture.
And when those pieces are connected, organisations are in a much stronger position to understand who they are actually hiring.
AI isn't the fundamental problem, and abandoning technology isn't the answer either.
The bigger question is whether the hiring process is structured enough to test, connect and verify the information candidates provide.
Because hiring will always involve trust.
But trust doesn't have to mean taking everything at face value.
The stronger the process, the stronger the evidence behind the decision.
That’s where the right hiring technology can make a difference. Wamly helps organisations bring the hiring process together, so you can collect better evidence, make more informed decisions and hire better people, faster. Explore Wamly’s features to see how it can support your hiring process.
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