The sharp increase in awareness of cybersecurity means that companies now consider it a key enterprise risk. As cybersecurity systems become more sophisticated, so do the attackers’ arsenals. Modern Machine Learning (ML) techniques play a bigger and growing role in this scenario.
The presentation covers how cybersecurity currently uses Machine Learning (ML) approaches and includes examples for hands-on experience. The first part focuses on the strengths, challenges and limitations of the use of ML in defence cases. The second part shows how attackers can use machine learning, and how these risks can be mitigated. The presentation concludes with an outlook into the future based on the directions of current developments.