Using AI and ML to lure attackers into simulated environments to analyze their attack strategies, components, and code needs to start at the transaction level. Transaction fraud detection is one of five core areas where AI and ML can improve cybersecurity this year. Additionally, malware detection and user & machine behavioral analysis are among the top five use cases delivering the most value based on their use of AI and ML this year.
