I would like to discuss how integration of machine learning (ML), deep learning, natural language processing (NLP), and other AI techniques into cybersecurity tools and workflows to improve detect, prevent, respond to, and predict cyber threats more effectively than traditional methods. How contextualized detection and analysis will save time and increase efficiency and improve incidence response times.
I also wanted to discuss challenges and considerations like, Bias in training data can lead to mislead the threats and may increase false positives in some cases!