Which of the following is a critical aspect of network security related to AI?

Prepare for the Certified Ethical Hacker (CEHv13) exam with comprehensive study materials, flashcards, and multiple-choice questions. Learn with detailed hints and explanations to excel in your cyber security career!

AI-Based Detection is a critical aspect of network security because it leverages artificial intelligence to identify and respond to security threats in real-time. Traditional security measures can be reactive, addressing threats only after they have been discovered. In contrast, AI technologies can analyze vast amounts of data, detect unusual patterns or anomalies, and learn from them to improve security measures continuously. This proactive approach enables faster response times and more effective threat mitigation, making AI-based detection a pivotal component of modern cybersecurity strategies.

In network security, the ability to detect potential intrusions, malware, or other vulnerabilities before they can exploit the system is essential. AI systems can also adapt to new threats as they evolve, which is particularly important given the rapid pace of change in cyber threats.

While creating user accounts, managing outdated software, and conducting regular training sessions are all important to maintaining a secure network environment, they do not provide the same level of proactive threat detection and management that AI-based solutions offer.

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