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CANDIDATE VERIFICATION
Stop Candidate Fraud and AI-Generated Applicants
Shufti's candidate verification software uses document forensics, biometric matching, and enhanced due diligence to catch fraudulent candidates at the application stage, before a conditional offer.
Candidate Identity Verification Across Every Hiring Stage
Stop Fake Applicants Before Screening Begins
Bots, synthetic identities, and AI-generated applications can bypass traditional ATS filters and waste recruiter time. Shufti detects high-risk applications early using document forensics, biometric verification, and device intelligence before candidates enter the hiring pipeline.
Catch Proxy Interviews And Deepfake Candidates
Remote hiring makes it easier for proxies and AI-generated identities to enter interview processes undetected. Shufti uses biometric liveness checks and identity matching across interview stages to ensure the same verified person appears throughout the hiring journey.
Verify The Right Person On Day One
Background checks validate records, but not always the person presenting them. Shufti re-verifies candidate identity before onboarding and system access, ensuring the individual receiving credentials is the same person approved during hiring.
EXPLORE THE STACK
Candidate Employment Verification Built For Modern Hiring Teams
Authenticate candidate identity at every stage of the hiring process
Verify Any government-issued documents, match biometrics, confirm address, and extract chip-level identity data, before a conditional offer is made. Each verification method is configurable per role type, risk level, and regulatory requirement.
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Verify any government-issued document a candidate submits, with forensic analysis that detects tampering, font inconsistencies, and AI-generated artefacts. Template matching against any document types across 240+ regions actively processed with decisions delivered in under 15 seconds.
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Confirm the candidate appearing at the interview is the same person who submitted their application. 68-point facial landmark comparison with iBeta 3 -certified liveness detection 99.7% accuracy,catches deepfake video submissions, printed photo spoofs, and injection attacks during the selfie step.
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For regulated-industry hiring (financial services, government, healthcare) requiring high-assurance identity evidence, NFC verification extracts cryptographically secured data directly from ePassport and national ID chips. Produces defensible tamper-evident verification records that document images alone cannot provide.
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Verify a candidate's proof of address at the point of application with OCR extraction in 150+ languages, structured field decomposition, and cross-checks against consolidated global postal databases. Geospatial distance detection flags addresses that don't match the candidate's stated location.
Enhanced screening for high-risk roles
For senior, financial, and regulated-access roles, identity verification is the floor, not the ceiling. Enhanced due diligence extends screening to adverse media,sanctions exposure, and corporate affiliations ,producing a complete risk picture before the offer letter is signed.
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Extend candidate screening beyond identity to adverse media, sanctions lists, and PEP status checks. Produces a structured due diligence report audit ready for internal governance requirements.
Built For Every Role In The Hiring Process
Combine identity checks, right-to-work verification, and document authentication into a single pre-employment flow. Built for hiring teams that can't afford a compliance gap before day one.
Compliance Officer
Audit-ready evidence on every verification, structured for regulatory inspection across every jurisdiction you operate in.
Product Manager
Configurable verification flows that balance speed against risk tolerance, without rebuilding the integration each time.
Developer
REST API, mobile SDKs, and sandbox access. First verification call within hours of integration start.
Fraud Analyst
Pre-scored evidence and fraud signals on every flagged case, so your team reviews decisions, not raw submissions.
Detect Every Fraud Type Targeting Your Platform
Deepfake
AI-generated faces and synthetically forged documents bypass legacy liveness checks at scale. Shufti's passive liveness & document forensics detects synthetic media before it reaches your onboarding flow.
Identity Fraud
Credential theft, blended synthetic identities, and manipulated documents exploit gaps in manual review. Shufti's layered verification surfaces fraud signals before accounts are created.
Account & Platform Abuse
Duplicate registrations, bot-driven sign-ups, and referral exploits erode platform economics. Shufti links device, identity, and behavioural signals to flag abuse rings at scale.
Transaction & Payment Fraud
False chargeback claims, money mule networks, and sanctions evasion expose your business to financial and regulatory risk. Shufti ties identity verification directly to transaction context.
HOW THE CANDIDATE VERIFICATION PROCESS WORKS
Verify Candidates Without Slowing Hiring
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STEP 01
Candidate Identity Submission
Candidates submit their government ID through your ATS, hiring portal, or Shufti SDK on any device, anywhere.
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STEP 02
Instant Identity & Fraud Checks
Shufti verifies document authenticity, extracts data with OCR, performs biometric matching, detects liveness fraud, and validates NFC chip data for high-assurance roles.
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STEP 03
Automated Candidate Risk Scoring
Every submission receives a risk score based on document validity, biometric confidence, and liveness results. Suspicious cases are automatically flagged with supporting evidence.
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STEP 04
Verified Candidates Move Forward
Approved candidates continue through the hiring pipeline, while flagged submissions reach reviewers with complete verification context and audit-ready records.
BUILT FOR YOUR INDUSTRY
Candidate Identity Verification For Regulated And High-Risk Industries
Verify Employees For Regulated Banking Roles
Banking institutions must verify that the individual hired is the same person vetted throughout onboarding. Shufti combines biometric verification, document forensics, AML screening, and audit-ready identity records to support regulated hiring and internal risk controls.
Validated By Leading Analysts And Certification Bodies
Ranked Top 5 in the DHS RIVR 2025 for identity validation
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Ranked Exceptional for age verification by Liminal Index 2026
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Recognised as a Leader in G2 Summer 2026 reports
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Differentiated by Gartner on document diversity and country coverage
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Certified at iBeta Level 3 PAD with 0% APCER
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Frequently Asked Questions
What verification checks run during the candidate screening process?
A standard candidate verification flow includes document authentication, biometric face matching with liveness detection, and address verification. For regulated or senior roles, enhanced due diligence adds adverse media screening, sanctions and PEP checks, and source-of-funds review. Every check is configurable per role type and risk appetite.
How does Shufti detect proxy interviewers?
Biometric liveness detection confirms the interviewee is physically present and live, not a deepfake video, pre-recorded submission, or injection attack. Cross-round face matching compares the biometric captured at application stage against the person appearing at interview. A mismatch triggers a review flag before the hiring decision is made.
How long does a candidate verification take?
Standard document verification and biometric matching complete in under 15 seconds. NFC chip verification adds seconds for high-assurance roles. Enhanced due diligence timelines depend on the depth of screening configured and are confirmed during implementation scoping.
Which regulatory requirements does it help satisfy?
For UK financial services, verification records satisfy FCA SM&CR individual accountability documentation requirements. For US employers, data handling is structured to support FCRA consent and adverse action obligations. Right to Work verification outputs satisfy UK Home Office documentation standards. Audit trail exports are available for all jurisdictions.
How does it integrate with ATS platforms?
Verification is triggered via REST API from within the ATS or hiring workflow. Webhook callbacks deliver pass, fail, or review-queue status on completion. Structured JSON responses, including document data, biometric match scores, and liveness results, are ready for downstream ATS ingestion. Sandbox access is available immediately for integration testing.
How does deepfake detection handle GenAI-generated faces specifically?
Generative adversarial networks and diffusion models leave frequency-domain artefacts that differ from genuine photographs. DCT decomposition isolates these artefacts in the frequency spectrum where GAN-generated and diffusion-generated images produce predictable patterns. The detection layer is updated as new generative architectures emerge , it is not trained on a fixed set of known generators.
What happens when a user wears glasses, a headscarf, or has a facial difference?
The 68-landmark facial mapping and 3D depth reconstruction are designed to work across a range of facial presentations. iBeta Level 2 testing includes demographic diversity requirements. DHS RIVR testing used 1,632 volunteers across multiple demographic groups and the system maintained consistent false non-match rates across all subgroups. Accessories and coverings that do not obstruct the core facial geometry (eyes, nose, mouth triangle) are handled without additional user prompts.
How do you handle demographic bias in face matching?
DHS RIVR 2025 measured false match and false non-match rates across demographic groups as a core benchmark requirement. Shufti met the demographic consistency thresholds across all tested subgroups. The FNMR variance across demographics remained within the Goal-level ceiling. Published results are available at mdtf.org/rivr/Results.
Stop Hiring Fraud Before Day One
Verify candidate identity with document authentication, biometric matching, and liveness detection before onboarding, background checks, or system access. Shufti helps hiring teams detect fake applicants, proxy interviews, and identity fraud early in the hiring pipeline.