About Us & Mission Video Script (483 words)

-Idan Weissman: Everyone has a lot of data online, some of it is accurate and true and some of it is less accurate, less true. So what we do at Socure is determine which is true and which is fraudulent.

-Sunil Mahdu: Socure is an identity verification company based in New York. We use online and social data to help businesses figure out if their customers are who they say they are.

-Michael Hiskey: Socure provides additional verification that can’t be gleaned through traditional credit check methods alone.

-Sunil Mahdu: Institutions know about their customer in the form of the devices they use, the way they click on the websites, the way they pay. But they don’t know about the behavior of a good customer as relates to the Internet.

-Nash Ali: We found that social biometric data is a fantastic predictor of progress.

-Jhonny  Ayers: We’re able to view a consumer more holistically across multiple mediums and therefore model. The risk of that particular individual might have do an enterprise and a much more sufficient and in-depth way.

-Idan Weissman: To do this, we solve for a lot of real world problems like fault tolerance, security performance, returning answers in under a few seconds.

-Sunil Mahdu: So for the first time Millennials comprise 51 percent of the world’s population that’s three and a half billion people between the ages of 18 and 34. They’re fundamentally different from any generation before them – they’re impatient, they want to use services with a lot less friction in paperwork and that goes against the face of traditional financial services.

– Michael Hiskey: Today people want their bank to be smarter at detecting fraud not using stale old methods that are based on generic user profiles.

-Idan Weissman: Socure is solving a well understood problem in a cool way.

-Sunil Mahdu: A fraudster who steals our identity and tries to use that to commit fraud would have to create that type of activity synthetically over a long period of time which becomes a big barrier to commit for.

-Jhonny Ayers: Helping to increase acceptance or saying ‘yes’ to more consumers and helping the decrease fraud risk and actually capturing more of the bad guys.

-Sunil Mahdu: People live their lives online and we create friendships, professional relationships across a variety of networks over a long period of time and that forms a unique fingerprint for that individual.

-Idan Weissman: I take the algorithm the data science team comes up with and I turn into code that takes an identity and tries to determine whether it’s accurate or not. A not scored determines whether an identity is real, whether it’s synthetic, which is to say it’s completely fake, or whether it’s been stolen. A fraud score is the probability that a particular identity will go on to commit fraud in the future. To keep one step ahead of the fraudster.