COMPUTER FUNDAMENTALS

Detailed explanation-1: -One of the most significant benefits of AI and ML in data center security is their ability to detect and prevent real-time threats. These technologies use complex algorithms and mathematical models to analyze large amounts of data, including network traffic, user behavior, and system logs.

Detailed explanation-2: -AI uses machine learning and deep learning to recognize patterns on the network and cluster them, it will then detect deviations or security incidents from the norm before responding to them. These patterns can help to improve security in the future. Similar potential threats can be detected and blocked early enough.

Detailed explanation-3: -Artificial Intelligence is a powerful tool for identifying vulnerabilities, threats, and attacks in cyberspace. Security-focused AI is capable of detecting and analyzing enormous amounts of data without interruption, seeking malicious activities and providing necessary recommendations.

Detailed explanation-4: -Traditional data centers monitor and report data outages manually. AI can monitor server performance, network congestions, and disk utilization and predict data outages in data centers and thus minimize downtimes.

Detailed explanation-5: -AI can be used by cybersecurity professionals to reinforce cybersecurity best practices and minimize the attack surface rather than continually being on the lookout for malicious activity. On the flipside, cybercriminals can take advantage of those same AI systems for malicious purposes.