Technology companies hire engineers, product managers, salespeople, and support staff who access sensitive systems, proprietary code, customer data, and financial information from day one. The risk of a bad hire in tech is not just an HR problem. It is a security, compliance, and customer trust problem. GCheck supports the full screening stack for tech hiring: biometric identity verification, deepfake fraud detection, criminal background checks, employment and education verification, and post-hire monitoring, in one FCRA-compliant platform.
Remote and distributed hiring has created conditions where the candidate who interviews is not always the person who submits to screening or shows up for work. Deepfake technology is now used in live video interviews. Education credentials are routinely fabricated. Employment histories are compressed, inflated, or invented. Standard background check programs were not built to address the identity and credential verification demands of modern tech hiring. GCheck handles each screening layer as an orderable service within a single FCRA-compliant workflow.
Deepfake video and audio manipulation is actively used in tech hiring interviews, enabling fraudulent candidates to impersonate others or conceal their real identity during remote screening.
Identity substitution in remote hiring means the person who accepts an offer and the person who reports for work are sometimes different individuals. Biometric verification at the screening stage is the control that closes that gap.
Education credential fraud is disproportionately common in tech, where fabricated computer science degrees, misrepresented bootcamp completions, and diploma mill claims are rarely caught without direct institutional verification.
Employment history fabrication is harder to detect in tech, where short contract periods, freelance work, startup failures, and layoffs create legitimate complexity that bad actors exploit to insert invented roles.
Global tech hiring introduces candidates with international education and employment histories, as well as synthetic identity fraud patterns that domestic-only screening programs cannot address.
Submit candidate details through GCheck’s platform or your existing ATS integration. Authorization and consent are collected before any check begins. Role-based packages can be configured so the right services trigger automatically based on seniority, access level, and function.
Identity confirmed, fraud signals evaluated. Verified Entry® confirms candidate identity before background checks are initiated. Deepfake detection, biometric liveness, and synthetic identity checks run for roles where remote hiring or elevated access risk warrants them.
Background checks run. Criminal searches, employment verification, education verification, global watchlist screening, and any additional services run based on the package ordered. Each follows a documented, FCRA-compliant workflow.
Continuous criminal monitoring, executive reputation intelligence, and license verification can continue throughout employment for roles requiring ongoing oversight.
Technology background checks typically include state and county criminal searches, a national criminal database search, federal criminal search, employment verification, and education and degree verification. Every GCheck package includes biometric identity verification through Verified Entry® before any background check begins. Deepfake fraud detection, biometric liveness detection, synthetic identity fraud checks, global watchlist screening, reference checks, social media screening, and international checks are added based on role type and access level.
Deepfake fraud detection identifies fabricated video and audio manipulation used to impersonate candidates during virtual interviews. Detection tools analyze visual, audio, and behavioral signals to identify synthetic media indicators that deviate from natural human interaction. For tech companies conducting remote hiring, this matters because deepfake technology is actively used in interview fraud, enabling bad actors to impersonate qualified candidates, bypass screening, and gain access to systems and sensitive information.
Education credential fraud is more common in technology hiring than in most other industries. Candidates fabricate computer science degrees, claim attendance at universities they never attended, and misrepresent bootcamp completions as accredited credentials. GCheck verifies degrees and certifications directly with issuing institutions, confirming degree type, major, graduation date, and credential status rather than relying on self-reported claims.
Every GCheck package includes Verified Entry®, which confirms candidate identity before background screening begins using document forensics, barcode validation, biometric matching, and liveness detection. For higher-risk roles, biometric liveness detection can be added as a separate layer to verify real human presence and block replay attacks or synthetic media substitution. Together, these controls address the identity substitution risk that remote and distributed tech hiring creates.
Synthetic identity fraud checks detect fabricated identities created from stolen or combined real data designed to pass standard background screening. These identities are specifically engineered to bypass name-based criminal searches and employment verification by appearing legitimate in existing databases. For tech companies onboarding remote contractors, offshore developers, or candidates from high-fraud hiring channels, synthetic identity checks add a layer of detection that standard criminal background checks do not provide.
Yes. International background checks verify candidate history with country-specific scope and compliant reporting across more than 200 countries, covering criminal records, employment verification, and education verification where legally accessible. Synthetic identity fraud checks and global watchlist screening are also available for international candidates, addressing the cross-border fraud patterns that domestic-only programs cannot detect.