Question: In the context of automated attacks, how does machine learning contribute to the improvement of attack precision and reducing false positives?

MCQ: In the context of automated attacks, how does machine learning contribute to the improvement of attack precision and reducing false positives?

• A. Precision and false positives are not relevant to machine learning.
• B. Machine learning algorithms can analyze patterns and behaviors, improving attack precision and reducing false positives in automated attacks.
• C. Automation and precision are unrelated concepts.
• D. Machine learning is limited to reconnaissance.