Candidate fraud detection

Spot candidate fraud signals early

Review resume patterns and live interview answers together. Screened surfaces gaps and inconsistencies for your team to explore before the next interview.

Trusted by hiring teams at

Udacity
GenScript
Terrascope

More applications need a closer look

A polished application can hide gaps in experience or identity. Ask for specific examples, compare the answers, and use separate verification where needed. Using AI to write a resume is not, by itself, fraud.

1 in 4

candidate profiles worldwide could be fake by 2028

Gartner forecast · 2025
39%

of surveyed candidates used AI during the application process

Gartner · Q4 2024 · 3,290 candidates
6%

of surveyed candidates admitted to interview fraud, posing as someone else or having someone pose as them

Gartner · Q2 2025 · 3,000 candidates

Read the Gartner survey and forecast

A polished resume is only the starting point

A live follow-up asks what the candidate personally did. Review their explanation alongside the claim on their resume.

Owned a $2m sales pipeline.

How much did you close yourself?

$180k. Most accounts were inherited.

The kinds of candidate fraud teams are seeing

Candidate fraud can involve false work history, someone else taking the interview, or misleading identity details. These need different checks; a screening conversation alone cannot resolve them all.

Resume & credential fraud

Invented employers, qualifications, or responsibilities can make a candidate appear to meet the role.

Ask for specific examples and verify important credentials separately.

Identity fraud & impersonation

Synthetic or stolen identities, and candidates who apply and interview as someone they are not.

Use a separate identity-verification process when your hiring process requires it.

Proxy interviews

Someone else answers the interview questions on the applicant’s behalf.

Compare later conversations with the screening transcript and complete any identity checks your process requires.

Deepfakes & AI-assisted answers

Voice or video manipulation, and real-time AI coaching feeding candidates their responses during the call.

A screening transcript records the answers but does not establish who gave them or whether they used outside help.

Location & work-authorization fraud

Applicants who mask where they really are or whether they are eligible to work.

Ask role-specific work-authorization questions, then complete the checks required for the country where the person will work.

Application farms & automated applying

Bots and paid services that fire the same lightly-rewritten profile at hundreds of roles at once.

Review relevant experience and specific answers, rather than treating polished wording or application volume as proof of fraud.

Spot signs of resume spam

Screened flags patterns such as repeated keywords and generic phrasing, with reasons for your team to review alongside the candidate’s experience.

See what sits behind the claim

A claimed saving can leave out important costs. Compare the resume claim with the candidate’s explanation, then decide what to explore.

Take resume claims into a live conversation

Ryan asks about the candidate’s contribution, decisions, and results. Your team can use those answers to prepare for the next interview, including follow-ups for remote hiring.

Keep the answers for the next interview

Return to the interview transcript and recording when reviewing a concern. Your team can compare what was said with later answers and decide which details to explore.

Review concerns in the screening report

Resume screening flags patterns for review. A phone screen adds the candidate’s explanation of their work, so your team can compare the claim with the answer.

Read the findings alongside the fit assessment and interview transcript. Use them to decide which questions or checks should come next.

No extra step for candidates

Candidates apply and take a phone screen if invited. These checks use that screening information; they do not add an identity-verification step.

Resumes are evidence to assess

Screened’s instructions tell the AI to assess candidate documents against your requirements and ignore instructions embedded in those documents. Your team can review the written reasons behind the result.

Signals your team can see

Read the flagged concern and its reasons alongside the assessment. Your team can follow up with the candidate before making a decision.

Ask about the gaps before the next interview

Bring the resume assessment and interview answers together, so your team knows what to check next.

Common questions

Candidate fraud is deliberate deception about identity, experience, or qualifications during hiring. Examples include invented credentials, stolen identities, and proxy interviews where someone else answers for the applicant. AI-assisted writing alone does not establish fraud.

Screened flags resume patterns worth reviewing and assesses interview answers against your role requirements. The resume assessment, transcript, and recommendation help you identify gaps or inconsistencies to follow up. These are screening signals, not proof of fraud or an identity check.

Compare the candidate’s claims with specific examples of their work, then follow up where details do not align. Screened provides resume assessments and interview answers for that review. A weak answer or a polished resume alone does not establish fraud.

A proxy interview is when a different, more qualified person takes the interview in the candidate's place, so the person you hire isn't the person you screened. Because a Screened voice interview is a real, live conversation, it's far harder to hand off than a form or a one-way video, and the transcript gives you something concrete to check later rounds against.

Live follow-up questions give your team more detail to compare with the resume and later interviews. Screened keeps the transcript and assessment for that review. It does not verify identity or establish whether a candidate used a deepfake or outside assistance.

No. Screened assesses resumes and interview answers; it does not perform document or biometric identity checks. Use a separate verification process if your hiring process requires one.

Look for inconsistencies between claimed experience and specific examples, or important details a candidate cannot explain. Screened highlights resume patterns and provides interview answers to review. AI-assisted writing alone is not proof that a candidate is fake.

Gartner predicted in 2025 that one in four candidate profiles could be fake by 2028. In a separate Q2 2025 survey of 3,000 candidates, 6% admitted to taking part in interview fraud. The forecast is not a measured current fraud rate, and AI-assisted resume writing alone is not evidence of fraud.

No. Screened assesses resumes and screening conversations. A background check separately verifies records such as employment history or credentials. Use screening findings to decide what needs follow-up; they do not replace verification.

Candidates submit their application and take a phone screen if invited. Screened’s authenticity signals come from those screening steps; there is no separate identity-verification process.

Have a look at how Screened evaluates candidates, or get in touch and we'll walk you through it.