- Samarbejd med os
- Om os
With the rising incidence of cyber-attacks, the need for cyber security within financial institutions is evident! Artificial intelligence (AI) and machine learning (ML) can potentially play a vital role in combatting these attacks. Ransomware, web-based attacks, and identify/payment card thefts have seen an immense increase in 2017 and are costly for organizations if not resolved quickly.
AI and ML potentially offer solutions to combat these attacks by detecting threats, reducing response time, and refining techniques to distinguish attacks that require immediate attention.
At this session we will explore the possibilities of AI and ML in terms of cyber security and dig deeper into this increasingly important topic. Further, we will discuss how AI and ML can be used to categorize normal/abnormal behavior and discuss the implications and potential risks that AI and ML poses.
|16:00-16:05||Welcome by Thomas Krogh Jensen CEO at Copenhagen FinTech|
|16:05-16:35||Artificial intelligence and machine learning – definition and how to use it in cyber security
Sarah McGillion, Machine Learning Specialist, Data Science and Engineering Lab, The Alexandra Institute
|16:35-17:05||Applied machine learning and artificial intelligence in fraud prevention
Casper Munk Christiansen, Head of Fraud Prevention Solution Management, Nordea
|17:15-17:45||From the other side: Will artificial intelligence and machine learning generate even more attacks?
Jens Myrup Pedersen, Associate Professor, Aalborg University
|17:45-18:00||Panel debate, closing remarks and questions
Moderated by Gert Læssøe Mikkelsen, Head of Security Lab, PhD, The Alexandra Institute
Læs mere og tilmeld dig på Copenhagen Fintechs hjemmeside.
Innovation Network for Finance IT
The Danish Cyber Security Clusters