Mike Liberty
๐ค SpeakerAppearances Over Time
Podcast Appearances
But what
What we really, really want to do is make sure that we're not putting undue friction in front of that good buyer.
Yeah, so throughout my career in the space, and now it's 15 years ago since we started Signified, I would say that
There has been a lot of tools that have come around that claim to be the silver bullet that are just going to stop fraud entirely.
And I think what that misses is that the fraudsters adapt as well.
So they become innovative.
Those tools are all available to them.
And often they're the early adopters of a lot of these tools.
And so what I think is going to happen is that continued arms race where now you've got this intermediary, whether it's OpenAI or Anthropic or one of these big foundational model providers that are making agentic commerce available.
And
It's really difficult to kind of pierce the veil of that agent, especially because these guys are, they're looking to acquire customers.
And so fraud kind of tends to be, safety tends to be an afterthought.
And so they don't think about, all right, well, we've got to make sure that we put the
information about whoever is sitting behind that agent front and center.
So it's available to a merchant and so that they can make a decision.
And that's where like someone like Signified really comes in because we're at that cutting edge.
We know these these fraud patterns and we're constantly thinking about, all right, how do we provide that protection while enabling this completely new form of commerce?
As I said before, I think it all goes back to the informational edge that you can get over a fraudster.
Fundamentally, we're using all of this information to basically figure out what is the intent of that buyer, what is the identity of that buyer.
We're able to be creative, see across our entire network and pull all of that information together to make sure that we're approving the good buyers and also like staying on top of the adoption of fraudsters of all of these new tools.