Experts Weigh In: Pros and Cons of Machine Learning for AI Security

Artificial intelligence (AI) in cybersecurity was a popular topic at RSA's virtual conference this year, with good reason. Many tools rely on AI, using it for incident response, detecting spam and phishing and threat hunting. However, while AI security gets the session titles, digging deeper, it is clear that machine learning (ML) is really what makes it work. ML allows for "high-value predictions that can guide better decisions and smart actions in real-time without humans stepping in." Yet, for all ML can do to improve intelligence and help AI security do more, ML has its flaws.