The employment process in India has always necessitated a certain level of vigilance. The background verification teams have undoubtedly learned to address inflated compensation claims, resume padding, and misrepresentation of credentials. However, the difference now lies in the dimensions, sophistication, and speed of fraud. Fraudsters are no longer using forged documents. They are working with the same AI tools that HR technology vendors are selling as solutions, and in many cases, they are several steps ahead.
This is the defining tension of recruitment fraud detection in 2026: the tools meant to protect hiring integrity are being repurposed to defeat it.
Fraud Has Upgraded: Has Your Hiring Process?
The EY report, "The First Firewall: Background Checks as India Inc.'s Frontline Defense" (2025), based on analysis of over one million pre-employment screenings across more than 90 organizations in India, confirmed what many HR leaders already suspected. There is a significant increase in employment fraud, with more experienced professionals being nabbed for these shocking acts than freshers. In healthcare, a remarkable 96% fraud incidents involved previously employed candidates. In finance, this number was at 88%, and in IT/ITeS, it was 79%. (EY, 2025)
What makes the current landscape distinct is the technology layer. Counterfeit documents are no longer created manually. They’re made with digital processes and cost nearly nothing.
Deepfake Video Technology: Organizations in India are already facing its impact. It is no longer a novelty but an operational threat. Candidates are using it to overlay AI-generated video during virtual interviews to impersonate qualified professionals. At the same time, proxy interview fraud in Indian networks has evolved into semi-organized operations, in which one skilled candidate interviews on behalf of another who later reports for the job.
What Recruitment Fraud Actually Looks Like In India Today
Understanding the specific recruitment fraud detection vectors active in India requires analyzing data by sector, not just in aggregate. The EY (2025) report explicitly conveys how fake candidates in hiring are manifesting across industries.
In IT/ITeS, 45% of flagged candidates were found to be moonlighting with ongoing dual employment and active GST registration, thereby revealing their status. According to an investigation into financial services, 84% of discrepancies arise due to candidate misinformation. The most common instruments were inflated salary documents and unrecognized degree certificates. In the medical field, 83% of candidates were unsuccessful because they failed background checks for basic credentials, and 75% submitted made up documents for employment. Of those fake experience letters, 30% falsely claimed affiliations with the 10 largest healthcare institutions in the country.
Deepfake technology affects all industries and areas. According to Pindrop's 2025 Voice Intelligence and Security Report, the number of deepfake fraud attempts rose by 1300% during 2024, from one incident a month to seven incidents a day. A 2025 Greenhouse survey of 4,136 respondents found that 91% of hiring managers had either encountered or suspected AI cheating in interviews. And 18% of hiring managers caught someone using a deepfake during an interview. According to Gartner, by 2028, one in every four candidate profiles globally will be fake. At this trajectory, organizations in India are already under threat, considering the quantum of remote hiring in the technology and business process sectors.
The Association of Certified Fraud Examiners (ACFE) 2024 Report to the Nations documented the most common methods used to conceal fraud across 133 countries:
- Creation of fraudulent physical documents: 41% of cases
- Alteration of physical documents: 37% of cases
- Creation of fraudulent electronic documents: 31% of cases
- Alteration of electronic documents: 28% of cases
The data makes clear that fraud is not a purely digital problem. It operates across physical and digital channels simultaneously, which is why single-method verification consistently falls short.
Where Traditional Verification Breaks Down
The traditional background verification framework was designed for a different age. The documents were thought to be physical, and employment histories were verifiable through direct contact with the employer. Also, the person appearing for the interview was the person being evaluated. In a remote first hiring environment, none of those assumptions consistently holds.
Several specific failure points have emerged that HR teams in India need to account for:
- Tools for document authentication that can catch static forgeries will not be able to identify AI generated ones that have the right formatting, letterhead of a valid institution, and nothing visibly amiss.
- Statistically, human interviewers detect deepfakes poorly. According to a 2025 Wiley meta-analysis, untrained individuals could only identify deepfake content at 55.54%, which is slightly better than random chance.
- Verification via a single check at pre offer creates no defense against fraud that happens after onboarding or fraud that slips through that check but unravels during employment.
- The ACFE (2022) Report to the Nations found that 21% of organizations that fell victim to employment fraud had proceeded with onboarding despite red flags raised during screening. The failure was not always the tool. It was the process around the tool.
These limitations do not make verification redundant. They make verification the critical variable in the architecture.
Building Fraud Resistant Hiring Architecture
The organizations that are reducing their exposure to recruitment fraud are not doing so by deploying a single better tool. The multi-layered approach to AI background verification in India involves several steps:
- Screening validation is the verification of identities and credentials before the interview pipeline, not after the offer.
- Deploying AI-powered recruitment fraud detection on submitted credentials to identify document forensics and metadata mismatch, formatting irregularity, and institutional affiliation issues post offer.
- Periodic re-verification of credentials and employment status through continuous monitoring throughout the employee lifecycle, especially for IT/ITeS, which has documented prevalence of moonlighting.
The human layer is irreplaceable in this architecture. In the 2025 Greenhouse survey, 65% of hiring managers caught candidates reading AI scripts (in real time) during interviews in a deceptive manner.
It’s A Never-Ending Race, But You Can Stay Ahead
What makes AI candidate fraud structurally different from the resume padding of a decade ago is that the tools available to fraudsters are evolving at the same pace as the tools available to HR teams, and sometimes faster. A deepfake generated in 2022 would have been detectable on visual inspection. The same fraud committed in 2025 requires forensic AI to identify with any reliability.
The firms which treat the recruitment fraud detection architecture as a living system rather than a fixed procedure will be better positioned to absorb whatever the next generation of fraud technology introduces.
The race is real. The advantage goes to whoever refuses to run it with yesterday's tools.
Was this resource helpful?
Validate your HR expertise
Earning your SHRM-CP credential makes you a recognized expert and leader in the HR field.
Related Content
Learn how Marsh McLennan successfully boosts staff well-being with digital tools, improving productivity and work satisfaction for more than 20,000 employees.
The proliferation of artificial intelligence in the workplace, and the ensuing expected increase in productivity and efficiency, could help usher in the four-day workweek, some experts predict.
As artificial intelligence technology continues to develop, the demand for workers with the ability to work alongside and manage AI systems will increase. This means that workers who are not able to adapt and learn these new skills will be left behind in the job market.