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AI, Deepfakes & Synthetic Fraud

If a face can be faked at the click of a button, how do we know who is really sitting across from us?

One of the greatest challenges in the world of modern recruitment is the fact that we no longer truly know whether the person appearing on screen is who they claim to be.

AI tools are now available to anyone and make it possible to alter appearance, voice and even an entire identity in real time. What was once the domain of intelligence agencies or film studios has become an accessible tool that can be run from a home computer.

The implication for organizations is clear: a video interview is no longer a sufficient means of verifying identity.

In recent years, the world has seen quite a few cases of candidates impersonating other people, using fabricated identities or concealing material information during the recruitment process. As Deep Fake technologies become more convincing, the risk grows accordingly.

This is precisely why background checks based on open-source intelligence (OSINT) are becoming an increasingly significant part of recruitment processes, especially for sensitive roles.

When you examine a candidate's digital footprint over time, cross-reference different sources of information and verify the consistency between the presented identity and the real digital presence, you can identify gaps and warning signs that would never surface during an online interview.

The technology that makes it possible to hide the truth is advancing rapidly.

The challenge for organizations is to ensure that the tools for revealing the truth advance at the same pace.

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