Introduction
With the introduction of digital processes, hiring in India has become quick and scalable. However, faster hiring often comes with risk, because many candidates still provide incorrect or incomplete information. These gaps affect trust, compliance, and overall business stability, which later creates problems for organisations.
The Workforce Fraud Files – H1 26 by AuthBridge highlights how widespread these issues continue across both white-collar and gig roles. The findings provide a clear view of where hiring gaps exist and why stronger background verification is now more important than ever.
What Are Hiring Discrepancies?
Hiring discrepancies refer to differences between the information provided by a candidate and the results revealed by verification checks. For example, these may include incorrect job history, fake education details, and mismatched information.
These gaps often appear during the employee background check India process and can affect hiring decisions if not identified early.
Commenting on the partnership, Mr Ajay Trehan, Founder & CEO of AuthBridge, said,
"The H1 FY26 Workforce Fraud Files clearly show that hiring-related discrepancies remain a persistent and structural challenge. Despite faster and more digitised hiring workflows, we continue to see gaps in fundamental checks such as employment history, address, and education. These are not minor inconsistencies; they have direct implications for organisational risk, compliance, and trust. The data reinforces the need for organisations to embed background verification deeply into their hiring and workforce management strategies, rather than treating it as a one-time or post-hiring formality.”
Where Do Discrepancies Happen?
Employment Verification
Employment verification reveals the highest number of discrepancies. Many candidates misreport their roles, tenure, or salary to improve their chances of being hired. This often occurs due to intense market competition and increased hiring demand. In many cases, frequent job changes or short stints also make verification difficult.
Address Verification
Address mismatches remain high across roles. This occurs because people often move to different cities for work or stay in temporary housing. In some cases, candidates also provide outdated, incorrect, or incomplete address details, which creates gaps during verification and makes the process more challenging.
Education Verification
Education discrepancies continue to be a concern. Some candidates provide incorrect degree details or list institutions that cannot be verified. This often occurs because they feel pressure to meet job requirements or stand out in a competitive market.
Identity & Criminal Checks
Identity and criminal record discrepancies are less common compared to other checks, but are still critical. Even a small issue in identity verification can create serious risks, especially for roles that involve customer interaction or field operations.
White-Collar Workforce Vs Gig Workers
White-Collar Workforce
Discrepancies in white-collar workers follow a more structured pattern. The overall discrepancy rate is 4.33%, which shows that gaps still exist even in formal hiring processes.
Employment verification remains the biggest concern. Around 1 in 10 candidates fail these checks, often due to inflated roles, incorrect salaries, or unverifiable experience. This trend highlights the growing pressure to secure well-paying jobs.
Address mismatches stand at 7.7%, while 4.5% of education checks show discrepancies. However, this risk is no longer limited to documents. Behaviour-related issues are rising. For example, 1.9% of employees were found to be using prohibited substances, which shows a clear shift in risk patterns.
Court record checks show a smaller discrepancy rate of 0.5%, but they still matter because they point to legal issues that can affect trust.
Overall, this shows that organisations need to look beyond documents and focus on both what candidates claim and their conduct.
Gig Workforce
The gig workforce shows a different type of risk. The overall discrepancy rate is higher at 6%, which reflects greater challenges in verification.
Address verification is the biggest concern, with a 9.7% discrepancy rate. This often happens due to untraceable locations or a lack of response during checks.
Identity checks show a 2.5% failure rate, usually because of fake documents or misuse of identification. This leads to missing or incorrect records in official systems.
Court record checks stand at 2.2%, including serious cases such as theft or assault. Because gig roles involve direct customer interaction, these risks can directly affect safety and trust.
Key Comparison
Both segments show hiring discrepancies, but the nature of the risk is different. White-collar roles face more structured issues in employment and education details. However, gig roles carry higher operational risk because identity and address checks directly affect daily work and customer safety.
Therefore, organisations should avoid a one-size-fits-all approach and instead use role-specific background screening strategies.
Industry-Wise Insights
Hiring discrepancies appear across industries, but the level of risk depends on the type of work. For example, customer-facing roles require stronger checks because they can directly impact trust and safety.
IT / BPO / ITES
The tech sector shows a mix of document-related and behavioural risks.
- 12.02% address mismatches appear due to untraceable locations or a lack of verification
- 5.26% employment discrepancies include inflated salaries and incorrect job roles
- 3.55% education issues, including unverifiable degrees
- 1.75% drug test failures, which show a growing behavioural concern
- 0.58% court record cases, including disputes, fraud, or pending litigation
Because many roles handle sensitive data, even small gaps can affect trust and security.
BFSI / Financial Services
The BFSI sector shows high risk because roles involve direct access to money and financial systems.
- 13% employment discrepancies, with more than 1 in 10 candidates misreporting details
- 10.23% address mismatches, often due to inaccurate records
- 2.93% education discrepancies, including fake or unrecognised degrees
- 1.17% identity verification issues, which raise serious fraud concerns
- 1% court record discrepancies
These risks are critical because even a single error can lead to financial loss or compliance issues.
Retail
Retail hiring happens at speed and scale, which increases the chance of discrepancies.
- 1 in 6 candidates fail employment verification, often due to incorrect experience or salary details
- 10.64% address mismatches, linked to frequent relocations
- 9.16% education discrepancies, with many candidates faking diplomas
This is important because retail roles often involve customers and transactions, and trust plays a key role here.
Pharma
The pharma sector faces challenges due to its large and distributed workforce, especially in field roles.
- 11.21% address discrepancies, showing difficulty in verifying remote locations
- 12.1% employment discrepancies, mainly due to misreported experience
- 1.75% education mismatches, including fake diplomas
- 0.19% court record cases, which may seem low but still carry a serious risk
These gaps are important because the sector is highly regulated and depends on accuracy and compliance.
Telecom
The telecom sector shows some of the highest discrepancy rates across industries.
- 15.42% address mismatches, the highest among all sectors
- 14.32% employment discrepancies, including contract violations and incorrect job details
- 7.8% education mismatches, showing rising credential fraud
- 2.3% court record discrepancies, the highest among industries
This risk is high because many roles involve field-based work and direct customer interaction. Because of this, trust and proper verification become even more important.
What This Means
Discrepancies are not limited to one sector. However, the level of risk depends on the nature of the role. For example, customer-facing and field roles require stronger checks because they directly impact safety and trust.
Because of this, organisations should adapt their employee background check and background screening approach based on industry needs, instead of using the same process everywhere.
Why HR Leaders Need to Take Hiring Risks Seriously
Hiring discrepancies are not just small errors. They can create serious problems for organisations if left unchecked.
a. Impact Trust
When employee information is incorrect, it becomes harder for organisations to rely on their workforce. Over time, this can impact team performance and company culture.
b. Creates Compliance Risks
Many industries follow strict rules, especially sectors like BFSI, telecom, and pharma. If verification gaps go unnoticed, organisations may face legal issues or penalties.
c. Affects Customer Safety
This is especially important in roles that involve direct interaction with customers. For example, in gig or field roles, even a minor identity or background issue can pose serious risks.
Because of this, background verification is not just a formality. It plays a key role in building a safe, reliable, and compliant workforce.
What Organisations Should Do
Organisations need to take a more proactive approach to reduce hiring risks. A one-time check is not enough anymore, because workforce patterns and risks keep changing.
- Start background verification early in the hiring process. This helps identify issues before making an offer, which saves time and avoids rework later.
- Use continuous monitoring instead of relying on a single check. For example, periodic checks on criminal records or compliance status can help track risks over time.
- Customise checks based on the role. A field executive, for instance, may need stronger identity verification, while a finance role may require deeper employment verification.
- Use digital verification platforms for background screening to make the process faster and more reliable. These platforms help store verified credentials, reduce repeat work, and improve accuracy across hiring cycles.
This is where solutions offered by AuthBridge support organisations in building a more secure and efficient verification process.
Because hiring is becoming faster and more complex, organisations need systems that are both quick and reliable.
Conclusion
Hiring risks are changing as the workforce becomes more dynamic and digital. However, verification processes have not always kept pace with these changes.
Organisations need to move beyond one-time checks and adopt a more continuous approach. This helps them stay prepared for risks that may appear even after hiring.
In the end, building a reliable workforce depends on consistent and accurate verification. Trust is not created in a single step; it needs to be maintained over time.
