Transcript:
So how we use CyberCube to assist our clients in placing our reinsurance programs for them..The main thing that we do is we look at running the CAT models using the client's data to evaluate what their exposures are and what their risk is to CAT losses, in particular losses that sort of haven't happened before. So, really being able to see what those losses and expected losses are throughout the tail of the distribution.
So how CyberCube helps us quantify and communicate the performance of our clients' portfolios to both themselves and to markets? It really helps us see a full potential event catalog of possible cyber risks that they could be exposed to and could cause them to experience their losses. Also, the outputs we get, whether it be different summaries allows us to properly explain to clients where they're experiencing their losses and what's driving those losses.
So there are particular capabilities within the cyber key platform that help us generate different services for our clients. One thing that we're trying to understand more and more is what different technological dependencies clients are exposed to, particularly in certain subsegments of their portfolio, whether that be different regions or industries and the SPoF dependency tool really helps us do that and then model what the losses are going to be as a result of that if any of those technologies were to experience a cyber event.
CyberCube is an important part of our analytical toolkits when we're advising clients on their cyber strategy because it models so many events that we haven't got experience on. It's absolutely crucial for us to be able to tell clients what they could possibly experience and CyberCube helps us do that.
I think the most interesting insights that I've gained from working with CyberCube is particularly the help and collaboration during events and event response. I think really being able to relate to the real world, real events as we've seen them start to develop and try to use CyberCube's event catalog to predict how big those losses are going to be for the whole market, but and also for our individual clients has been really fascinating to see. I think being able to really analyze an individual company level what's driving the company's cat losses and exposures will enable us to really help clients break down their portfolio and see where the individual risks are. Something that we've always had a great relationship with CyberCube on is being able to get different insight when we've needed it when clients have wanted to understand part different parts of the model more and really try to make sure that they're satisfied and that's been a really useful place in in working with CyberCube.
