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 webinar, Spike Reply presents current developments in the field of AI and its relevance for cybersecurity. Some concepts and examples for each of the T's (threat, tool and target) in both industry and research are discussed. At the end of the session, the experts' views on trends and potential future scenarios are presented.
This session is a one-stop shop to get the current state of AI in cybersecurity. It provides knowledge essential to any decision-maker, architect and security professional who are considering AI. With all companies and governments racing towards harvesting its potential. It is high time, to treat AI with the same level of mature security analysis that is usually applied to legacy solutions.
Reply's Webinars series covers all industries and spans the latest innovation trends.