GET F'IT: Will machine learning & AI strengthen or be a threat to cyber security?
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 offers 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 & ML in terms of cyber security and dig deeper into this increasingly important topic. Further, we will discuss how AI & ML can be used to categorize normal/abnormal behavior and discuss the implications and potential risks that AI and ML poses.
This event is organized by Copenhagen FinTech, The Innovation Network for Finance IT and The Danish Cyber Security Clusters.
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 AI in Fraud Prevention”, Casper Munk Christiansen, Head of Fraud Prevention Solution Management, Nordea
17:05-17:15 Coffee Break
17:15-17:45 “From the other side: Will AI 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
When: Tuesday December 12th, 2017 from 16-18 (coffee and registration from 15.45)
Where: The Lounge - 2nd floor. Address: Copenhagen Fintech Lab, Applebys Plads 7, 1411 København K
Price: Free for members of Copenhagen FinTech.
To hear more about membership of Copenhagen FinTech contact Niklas Weckesser at firstname.lastname@example.org +45 3016 1121
Tuesday 12th of December 2017
16:00 - 18:00
Copenhagen Fintech Lab