AI improves threat detection by analyzing large amounts of data quickly. It finds patterns and anomalies that could indicate a threat. AI offers faster and more precise detection than traditional methods.

AI can detect a wide range of threats, including malware, phishing attacks, ransomware, insider threats, and zero-day exploits. It can also identify unusual network behavior and unauthorized access attempts.

Machine learning algorithms analyze historical data to learn what normal behavior looks like. Then use this knowledge to detect anomalies that could indicate a threat. Over time, these algorithms improve their accuracy by continuously learning from new data.

Using this technology has many benefits. It can detect threats faster and provide more accurate results. It also helps reduce mistakes and can process large amounts of data efficiently. Additionally, it actively searches for threats and can respond quickly to any potential dangers.

The limitations of this system involve the requirement of accurate data. There may be biases in the algorithms used. Implementing the system can be complex. There is also a risk of potential attacks on the system.