We don’t need all the available data, instead we take a closer look at some of them. We distinguish between cyber risks and product risks. With the former, Swisscom offers us excellent support. They let us know whether Custodigit data are purchased. They’ve also built scanners in the dark web, so-called honeypots, which search whether we appear somewhere on the net. On the product side, we monitor chains to see whether these are under attack.
Yes, very much. Especially on the product side, our aim is to use machine learning to identify scams. Customers want to know that their product is better protected against fraud. But we’ve only just started out on our journey to integrate these new technologies.
Capacities and capital. We don’t have any serious concerns about not being able to find experts. Fortunately, we have enough machine learning experts in our wider environment.
“You know you work with the right experts internally when they have the ideal mindset to assess risks. You need a healthy level of paranoia.”
At our company, everyone’s involved. This is the advantage when a company only has six employees.
We’re currently in the process of implementing the first business plan. Over the next couple of years, we’ll focus on stabilising the organisation as well as setting up and implementing processes accordingly.
When the cyber attacks increased. We’re under quite heavy fire. Even our office environment, which is strictly decoupled from our product environment, is permanently being attacked. Therefore, we’re in regular contact with the security experts at Swisscom.
On the one hand we’ve got internal experience, and on the other hand we draw on expert knowledge from our ecosystem. We conducted intensive reviews when we designed the platform architecture. Hence, we involved a core developer from the bitcoin network.
You know you work with the right experts internally when they have the ideal mindset to assess risks. You need a healthy level of paranoia. We also look at how long someone’s been active in the market, how much time they’ve had to gain experience and if they can demonstrate a certain learning curve.
“Customers who acquire crypto assets for the first time are initially euphoric, but then they become overanxious. Finally, the customers realise that the risks are manageable.”
Many of them know very little at the start and have limited awareness of the risk positions. Therefore, quite lengthy training is required until they’re able to identify and assess risks. It also takes a long time for them to understand how to be able to address these risks. Initially our customers are very euphoric, then they become overanxious. Finally, the customers realise that the risks are manageable.
New tools are required for these risks, such as chain analysis tools. The employees also need to have a new mindset. So, ultimately, it’s not a question of resources, but more a matter of training.
We tend to overestimate the short-term impacts and underestimate the long-term ones. I don’t expect the risk landscape to change completely. But I believe that the risks experts will be faced with entirely new challenges in their work. In three years’ time, they’ll become more important but will no longer be the main focal point. In five years’ time, I hope that this will account for a substantial part of the work. The cyber risks themselves won’t change entirely, either. But blockchain will stand for total and transparent traceability.
We expect there to be a certain change, especially in the finance industry. We need to get familiar with the topic as quickly as possible in order to build up a realistic assessment and identify that there are indeed new risks but that they can be managed.