Bushra Alahmadi is an Assistant Professor at King Saud University and a Visiting Researcher at the University of Oxford, where she received her PhD in Cyber Security on Malware Detection in Security Operation Centers (SOCs). Google recognizes her as a Google Developer Expert in Machine Learning, a recognition that only one other holds in the UK. Bushra’s years of research has led her to develop a profound vision of future research directions of Machine Learning (ML) and Artificial Intelligence (AI) in cybersecurity. She received numerous awards, grants and recognitions from the Computer Antivirus Research Organization (CARO), Google, Facebook, and the University of Oxford, among many others for her contributions to international science and community. Bushra is an international speaker and cybersecurity consultant. She previously held roles at Apple and Cisco in the USA. She was also the president of Oxford Women in Computer Science (OxWoCS) society and co-founded inspireHer with the support of Google to teach girls to code. She is currently a member of the Information Security Association (Hemaya) in Saudi Arabia.
Speech Topic & Synopses
Security Operations Centers (SOCs) are the first line of defense in an organization, relying on various security monitoring tools for threat detection and response. SOC analysts make decisions from security alarms produced by these tools based on their domain knowledge, intuition, and knowledge of the monitored environment. The sheer volume of data in corporate environments unveils an opportunity to apply Machine learning (ML) and Artificial Intelligence (AI) to build security tools for threat detection. However, our research on SOCs revealed that analysts still lack trust in alarms produced by AI security tools and SOCs are far from full adoption of Machine Learning products. In this talk, I will provide an overview of the state-of-the-art research and commercial developments on threat detection using Machine Learning, discussing successes and identifying challenges we are yet to overcome in building Machine Learning based security tools.