NASSCOM data shows 11.15% of IT employment records contain significant discrepancies. Traditional BGV catches fewer than half. Here is what actually works.
The 11.15% figure from NASSCOM's employment background screening research is one of the most cited statistics in Indian HR circles, and for good reason. It means that in a hiring batch of 100 IT candidates, more than eleven have employment records containing discrepancies significant enough to affect a hiring decision. Not minor errors. Material misrepresentations that change whether the candidate should be hired at all. What makes this number particularly striking is that it represents only the discrepancies that get caught. Given that traditional background verification fails to complete employment history checks on 30% of candidates due to unreachable HR departments, the actual rate of misrepresentation in the IT workforce is almost certainly higher than what the data shows. The industries beyond IT tell a similar story. In BFSI, where the regulatory consequences of credential fraud are highest, internal audits at major banks and insurance companies consistently find employment record discrepancies in 8% to 14% of mid-level hires reviewed. In healthcare, where qualification fraud creates direct patient safety risks, the rate of certificate misrepresentation in nursing and pharmacy roles runs higher than most hospital administrators acknowledge publicly. Traditional BGV cannot solve this problem at scale for three structural reasons. First, phone-based verification depends on the cooperation of HR departments that are frequently unavailable, understaffed, or legally cautious about what they will confirm. Second, document-based verification cannot keep pace with the sophistication of modern fabrication tools. AI-generated experience letters, fake payslips, and fabricated relieving letters can now pass visual inspection by trained reviewers. Third, the one-time nature of traditional checks means there is no ongoing signal. A clean report at joining does not detect fraud that the report missed. AscentPassport addresses all three structural failures simultaneously. The HR Confirmation Agent bypasses the phone call problem entirely by sending structured email verification requests that take the receiving HR team less than two minutes to confirm. The multi-agent AI analysis catches consistency problems that document review misses. And the AP Score is live, meaning it reflects new information as it arrives rather than freezing at the point of the initial check. The 11.15% statistic also has a specific implication for the economics of verification. If your company hires 100 people per year and 11 of them have material discrepancies in their employment history, and your average bad hire costs Rs 10 lakh including rehiring costs and lost productivity, then the potential annual cost of undetected fraud is Rs 1.1 crore. Against that figure, a verification system that costs nothing to operate looks very different from a discretionary expense. For HR leaders who are still treating employment verification as a compliance checkbox rather than a fraud prevention investment, the 11.15% figure is the number worth remembering. Eleven candidates in every hundred. That is not an edge case problem. That is a systemic one, and it requires a systemic solution. The hiring process itself needs to change in response to this data. Companies that rely on post-hire background checks as their primary fraud detection mechanism are accepting the cost of bad hires as a business expense. The more effective response is to integrate APID verification into the initial screening stage, before interview investments are made and before candidates develop expectations about the role outcome. When verification is a screening tool rather than a confirmation tool, the 11.15% fraud rate becomes an opportunity to filter the hiring pool early rather than a problem to manage after the damage is done. Candidates with strong AP Scores move forward efficiently. Candidates with unresolved verification questions get the appropriate scrutiny before, not after, the offer stage. The process becomes more honest, faster, and less expensive simultaneously. For individual professionals reading this, the implication is equally clear. In a market where 11.15% of your competitors have misrepresented their employment history, having a verified APID is not just a nice credential. It is a way of saying, without qualification, that you are not in that 11.15%. That distinction is worth five minutes to establish.