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Artificial Intelligence (AI) is now playing an increasingly vital role in cybersecurity. This technology can help automate repetitive tasks, and monitor digital changes and IT assets. It can also detect cyber threats.

Machine learning, an AI technique, is applied to data collected from devices and networks. These patterns are then analyzed to create risk assessments. They are then compared to a model of “normal” behavior.

Typical uses of AI in cybersecurity include behavioral analysis, threat detection, and anomaly detection. Using machine learning, an AI cybersecurity solution can identify abnormal traffic patterns, new malware, and low-speed attacks.

While AI can be used for surveillance and online activities, its primary role is to secure company assets. By automatically analyzing data, AI can find vulnerabilities and opportunities for improvement in a network.

One of the key advantages of AI in cybersecurity is its ability to analyze large amounts of data faster than humans. This allows it to detect and respond to threats without human intervention. However, AI can also be a source of bias. For example, an AI system may be biased against some people.

The accuracy of an AI cybersecurity solution depends on many factors. This includes the size of the neural net, the number of iterations, and filtering decisions. A solution’s accuracy will improve with more data, but it is never infallible.

Another important use of AI in cybersecurity is in security incident management. AI algorithms can be run over huge data sets to detect malicious traffic patterns. If an attack is detected, AI can quickly generate defensive patches.