 Hi, I'm Nicole Egan, CEO of Dark Trace. I'd like to give you a quick overview of the company. We've created a fundamental and innovative new approach to cyber defense. We were founded two years ago in 2013 by combining world-class mathematicians and machine learning specialists from the University of Cambridge with experts from the UK government intelligence community. I want to talk a little bit about a major innovation we see in the marketplace, and that's machine learning. Machine learning, we refer to as the Third Revolution. The first was the replacement of muscle by machine in the Industrial Revolution. Then in the mid-20th century, repetitive tasks such as payroll were replaced by computers. Now we have this revolution, which is replacing thoughtful tasks. Let's talk about some examples of machine learning. IBM Watson is helping doctors diagnose disease. Google's cars are logging hundreds of thousands of kilometers by learning how to navigate the real world. And Wall Street firms are using machine learning to predict market movements and execute trades. Machine learning is changing the world economy. So how is machine learning changing cyber defense? Well, many companies have tried to build walls around their enterprise networks and attempt to keep cyber threat actors out. But this approach clearly is not working. The reality is the threat is already inside the companies and in the networks. So how do we deal with this problem? Well, this challenge is not a new one. The human body's been fighting sophisticated attacks for hundreds of thousands of years. Our bodies have an ability to learn self and then can detect when bacteria and virus are attacking us. That's really a great analogy as to how dark trace works. We actually refer to it as the enterprise immune system. It learns what's normal behavior from employees and devices across the network. And then mathematical algorithms automatically detect when something's not normal and it assigns a probability of a cyber attack. For example, I might say there's a 68% chance of an insider threat. On the business front, dark trace has been growing rapidly and expanding around the globe. We've deployed it over 100 companies across all industries. We've doubled our headcount and have 100 employees working in countries such as the UK and US and across Europe and Asia. We've also attracted interest from investors having raised over $40 million. At dark trace, we're motivated by the mission to help companies improve cyber defense using world-class machine learning and our unique enterprise immune system approach. We're proud to be recognized here today by the World Economic Forum as a technology pioneer.