How Consortium Intelligence Makes Fraud Detection Invisible

Ideally, the user should never see anything. It's all risk based, so you should be frictionless for good customers, unless you're doing something that a bad actor happens to overlap with. Like you're at a cafe where a bad actor is launching an attack from — then you're going to be collateral damage as part of that signal, because what we look for is patterns of behavior. If it's a new pattern of behavior that's never been seen before, and our product is full consortium — we protect very large brands like Expedia and Meta and all these companies.

So if I see an attack on one customer, or a signature just on one customer, and I don't see that signature anywhere else, it's a really high likelihood that's a bad signature. The uniqueness of a signature in of itself is a giveaway that it's most likely a bad user. And Arkose Labs works with sharing intelligence in real time — what we learn in one occasion, we apply across the whole customer base.

It's something where customers can also label data and share it back with us. If it does go through Arkose, but at the time we didn't deem it as a threat and it goes on to do something bad, they can actually label and give that back to us so that our systems also get intelligence from their downstream risk models as well.