Socure’s Deepanker Saxena breaks down how to spot fake job candidates

Deepanker Saxena, Socure’s head of product, is real. In the age of AI-assisted fraud, that makes him a model employee. More and more fake job applicants are infiltrating the hiring pipeline, giving fraudsters access to critical systems.

“Once you have access into the company’s ecosystem and infrastructure, you can steal IP, you can steal sensitive information, especially from companies like banks, where you have so much sensitive PII information, someone’s loan information; all these small bits of data can be sold.”

The rapid development of tools and tactics for hiring fraud demands more than a layered defense: verification needs to be happening continually, at every step, to avoid the catastrophic damage that can occur in minutes.

“Someone getting into the company, the first five minutes, if they send you an email, which comes from at companyname.com, you are going to open that link because you now trust the sender. And that one link could have ransomware, could have malware, could have these spam links, could be anything. So it’s not about you staying there for three years to find all the IP information or three months to find it. It’s just three minutes. The first email can actually bring down a lot of infrastructure behind the scenes.”

The goal, he says, is “to always keep adding new signals, always keep innovating on things we are doing.”

“Can we look at more signals on ISP consistency? Can we look at more signals on behavior? It’s not about solving today’s problem, it’s about staying ahead of the problem that’s going to show up tomorrow because of the pace at which tools are moving.”

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Runtime: 00:24:47

Article Topics

AI fraud  |  Biometric Update Podcast  |  continuous authentication  |  deepfake detection  |  deepfakes  |  identity verification  |  Socure  |  synthetic identity fraud