Dr Louise Axon

Louise Axon is a Research Fellow in Cybersecurity at the University of Oxford, with interests in network-security monitoring and intrusion-detection approaches, security and privacy of blockchain-based systems, systemic cyber risk and cyber insurance, and cybersecurity capacity building. At the Global Cyber Security Capacity Centre (GCSCC), Louise researches cybersecurity capacity building and collaborates with colleagues to implement the Cybersecurity Capacity Maturity Model for Nations (CMM) globally. Within the University, she has supervised cybersecurity-related undergraduate and master's projects, lectured the Computers in Society course for undergraduate and master's students, and taught on the Oxford Cyber Security for Business Leaders Programme at the Saïd Business School. She is a member of the World Economic Forum (WEF) Expert Network and was previously the Council Fellow for the WEF's Global Future Council on Cybersecurity.

Previously, Louise was a Researcher Co-Investigator on an Innovate UK-funded CyberASAP accelerator project, where she developed a security-monitoring proof of concept for blockchain-based systems. She also worked on the Fly2Plan project, part of the Innovate UK Future Flight Challenge, exploring how to test and operationally maintain the security of a blockchain-based approach to aviation data exchange. Additionally, Louise has worked on joint projects between Oxford, the World Economic Forum, and Lloyd’s Register Foundation, exploring the cybersecurity challenges arising from emerging technologies such as artificial intelligence and quantum computing, as well as environments like the Industrial Internet of Things. Furthermore, Louise has been involved in research in the area of cyber insurance and cybersecurity risk quantification for organizations, sponsored by AXIS Insurance Company. This included developing models to analyze factors contributing to systemic cybersecurity risk and strategies to mitigate them. Her doctoral thesis explored the utility of sonification (the representation of data as sound) to support the security-monitoring work of Security Operations Centres.