One of the most revolutionary aspects of AI in cybersecurity is its ability to predict future cyberthreats. By using predictive analytics and historical data, AI can forecast the types of attacks that are likely to occur or the vulnerabilities that are most susceptible to exploitation.
For example, a predictive AI model might analyse past cyberattacks on an organization and correlate the methods, tools and attack vectors used. Based on this data, the system can forecast new attack vectors and proactively harden defenses against them.
In addition, AI can simulate potential attack scenarios by using adversarial machine learning techniques. These simulations can help security teams understand how attackers might use weaknesses in their infrastructure, allowing them to fix vulnerabilities before a real-world attack occurs.