AI security

Evolving technologies like hyper-automation already show how true digital transformation is changing in the business world. However, these technologies also create security vulnerabilities through potential new points of attack. Future AI security will have 3 key perspectives: 1) protection of AI-powered systems, secured AI training data, and trained pipelines and machine learning models; 2) leveraging AI to enhance security defense, and utilizing machine learning to understand patterns, uncovering attacks and automating parts of the cybersecurity processes; 3) anticipating negative use of AI by attackers — identifying these attacks and defending against them.