How does Machine Learning (ML) enhance security measures?

Machine Learning (ML) significantly enhances security measures by analyzing page content to detect anomalies. This capability allows security systems to learn from vast amounts of data and identify patterns that may indicate a potential threat or malicious activity. By continuously learning from newly incoming data, ML can spot unusual behaviors or deviations from established norms, which may signify a security breach or cyber attack. This proactive detection is crucial for fast response times and effective threat mitigation.

The other options do not accurately reflect the role of ML in enhancing security. Simplifying network access for all users does not directly contribute to strengthening security; rather, it may introduce vulnerabilities. Eliminating the need for human oversight could compromise security, as human judgment is often necessary to assess complex scenarios that machines may not fully comprehend. Standardizing all internet traffic does not inherently improve security. Instead, security measures must adapt to the complex and varied nature of internet data, which is where ML excels.