Which of the following roles does predictive analysis play in AI-driven ethical hacking?

Predictive analysis is a critical component in AI-driven ethical hacking, functioning primarily to anticipate and forecast potential security threats. By analyzing historical data and recognizing patterns, predictive analysis allows security professionals to identify vulnerabilities before they can be exploited. This proactive stance enables organizations to strengthen their defenses and prioritize remediation efforts, effectively mitigating risks before they materialize.

This role of forecasting aligns with the primary aim of ethical hacking, which is to discover and address security weaknesses actively. By leveraging AI, ethical hackers can enhance their threat detection capabilities, swiftly adapt to emerging threats, and implement more robust security measures based on predictive insights.

In contrast, the other options—reducing software costs, improving user interface designs, and simplifying coding processes—do not directly relate to the core objectives of predictive analysis within the context of ethical hacking. These aspects focus more on software development and user experience rather than on identifying and managing security risks.