3 Top Challenges in the Digital Identity Space
An interview with Clive Bourke at the Future Identity Festival 2025
My name is Clive Burke from Daon. I’m responsible for the EMEA and Asia business from Daon. What Daon do is we are identity specialists. We specialized in machine learning, biometrics, document algorithms and we build systems to onboard new customers, unknown person, unknown device, to bring them a trusted account holder or for a service provider. And then thereafter how to strongly authenticate that person in all types of scenarios as they access their account, as they do payments, as they complete high-risk transactions. So that’s what Daon do. And my role is to look after that business for EMEA and Asia. But it’s sort of three pain points. One is conversion. So how do we make sure that in a frictionless fashion, we get as many people through the process if they want to become an account holder in whatever way? And so that conversion rate and making sure that you’ve got good conversion rates and making sure that you’re not losing people who could become account holders for your service providers is a big thing. The second part is dealing with the diversity of people who you might need to deal with. So some people have identity documents like driver’s license and passports. Other people don’t or they have one. And then some people are in like a vulnerable community. They don’t have any documentation of that type. So you need to be able to handle what we call that full doc, low doc, no doc scenario and be able to deal with that in a good way where someone ends up being an account holder rather than being in a rejected pile. And then the third problem is fraud at the moment. So fraud has always been an issue. There’s challenges across every business. There’s always fraudsters targeting businesses. But now with AI, you have a situation where more people have more tools to commit, try and commit more fraud. So we see fake UK documents, fake UK driver’s licenses, tamper documents, people trying to do injection attack, and so dealing with that fraud. So we use AI to fight AI. So anybody that fraudsters can think of and tools that they can use, we have defenses that we’ve built against them. So those are the three things. It’s conversion rates. It’s then dealing with people with the different types of document capabilities. Some have documents, some don’t. And then the last part is fraud. That’s what we see. Well, the biggest development is happening here in the UK and in Europe, which is the emergence of wallets. So basically we have wallets where you have an identity in your wallet, so you no longer have to take out a physical document and scan it. You’ll be able to use the wallet to interrogate that document. So that means that people can easily serve up who have a wallet and put their their credential in that wallet. They’ll be easily be able to serve that up in any digital interaction. That means more people more often be able to prove their identity in a more frictionless fashion. But the second exciting thing is, OK, AI is being used by fraudsters, but it’s also being used by us to build better systems. So we can now use AI-assisted development to actually help us build better algorithms that can detect more fraud, but can also convert more people through that conversion process as well. So second thing is also using AIR SaaS to build better systems.




