Artifical Intelligence in Cyber Security: Threat, Tool or Target?

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Presented at RuhrSecBochum 2019 by

Tobias Burri

Elias Hazboun

Recent machine learning algorithms such as Convolutional Neural Networks or LSTMs fueled by modern GPUs have produced astonishing results unimaginable only a few years ago. These developments bring a number of challenges and opportunities in the cyber security field. First, using AI maliciously can potentially result in threats that are faster, more complex and more difficult to detect. Second, recent developments in AI can be leveraged to improve our protection capabilities against cyber-attacks. Last, as AI technology becomes increasingly popular and available in more systems and services, new challenges emerge as this technology needs also to be protected from cyber threats. In this session we will present current developments in the field of AI and their relevance for cybersecurity. We will then cover some concepts and examples for each of the T's (threat, tool and target) both in the industry and research. We will close the session by presenting our views on trends and potential future scenarios.