The India Hiring Integrity Pledge | Global Interview Security Summit 2026 | IT Focus | India Edition

In this closing session, you will explore why point solutions like isolated resume checks or background verifications fail to protect modern enterprises from sophisticated recruitment fraud. Reflecting on insights from across the summit, the discussion highlights the alarming reality of hundreds of global organizations unknowingly hiring fraudulent operators using stolen identities and deepfakes. Because fraud moves dynamically across the hiring funnel, true security requires a unified, continuous signal that verifies identity end-to-end. Discover how the AI AEGIS initiative aims to transform these best practices into an industry-wide portable standard for candidate trust. 

Panel details: 

Sanjoe Tom Jose (Talview)

Transcript

SPEAKER_00 0:01

Welcome back. So we started today with a simple line. Hiring is local, but the risk is truly global. Over the past few hours, with uh three different panels, GCC leaders, heads of banking and financial services organizations, and uh IT security and IT talent leaders. I think we we did validate that it isn't just uh something which uh we are anticipating it's a real uh kind of uh uh relevant issue today. It's it's Tuesday morning for them. So uh from the GCC session, what I what I learned, and um uh it it was really insightful is that the number that should stay with everyone here is 300 companies, many of them Fortune 500, have unknowingly hired North Korean operators using stolen identities and deep fakes. And that happened outside India. And uh we heard Devakar and Ahmad's point was India isn't insulated from this, it is more exposed because GCCs give a one day one hire the same system and data access to someone sitting in Paris or New York and in India. And one bad hire isn't just an HRMS anymore, it is a global security incident with a local address. The idea that stuck with me uh uh is there is a need for a portable trust score for candidates, something like a civil score for hiring integrity. And that's something which we also envisioned that with AI ags we can put forth. From the BFSI or the banking and financial services session, I think the honest tension was speed versus security. Every leader on that panel admitted that they feel pressure to fast-track background checks to close roles. Every one of them also said the same thing. Integrity has to outweigh urgency. Because in banking and insurance, the question isn't did we hire fast? It is kind of like will this decision survive a regulatory audit six months from now? So the most uh practical takeaway from my standpoint is recruiters are the first line of defense, and the highest leverage move is in more process. It is arming recruiters with sharp judgment and right technology at the point of decision, not trying to control it afterwards. From the IT session, Pravanjan and Yogesh gave us the clearest picture of how fraud itself has evolved. It used to be about different person showing up on day one, now increasingly the same person interviewing, but with AI feeding them answers in real time through second devices, earpieces, screen mirroring. One line summoned up it perfectly for me. This isn't anymore AI versus human, it is in many ways AI versus AI, and the recruiter kind of playing the role of a human referee. And their prescription was also consistent. Identity verification anchored to a national ID carried throughout the every stage in uh in the process, whether it's uh interview, technical assessment, onboarding, uh, is the only way to stay ahead of this. So, what's the common thread across all three rooms? Every single panel, whether it's the GCC panel, the PFSI, the IT panel, they all independently arrived at the same conclusion that I believe my keynote opened with. Point solutions don't work anymore. A clean resume, a past background check, a clear proctor exam. None of this mean anything in isolation if they are not the same person being verified continuously end to end. Fraud doesn't stay in one stage of the funnel, so trust can't be checked in one stage either. So this is precisely the gap Talv has been building towards bringing identity, claims, and answers into what one signal instead of disconnected checks. And our hope is that with AI Ages we can work with the community to turn today's best practices into an industry standard for candidate trust. So here is my ask as we close. Don't leave today with just awareness. If you heard something in the sessions that map to a gap in your own process, a stage where you are not verifying who is actually in front of you, that's the one thing to go fix first. And trust isn't a feature you bolt on at the end of the hiring with a just a background verification. It's a precondition for it. So thank you for all the patience. Thank you for being part of the conversation. And I look forward to building AI ages together with many of you in this room. Thank you.