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Using AI for cybersecurity is a great way to speed up the screening process for malware. It’s also a great way to reduce the number of false positives that you’ll have to deal with. However, there are some factors you should keep in mind before deciding on which type of AI to use.

First and foremost, the data you need to analyze is huge. It’s difficult for human analysts to keep up with this amount. It’s also a time-consuming process. AI algorithms can process huge amounts of data, and they can analyze patterns faster than humans.

Additionally, if your AI system is trained on high error tolerance, it can take a lot of time and processor power to train it. It’s important to evaluate your configurations regularly. Moreover, keep in mind that AI systems are never infallible.

If your organization is in a “zero trust” model, you’ll need to constantly inspect applications and users. However, with the right AI-based security solutions, you can automate the process. This will help you avoid alert fatigue and get your team back to work faster.

AI can also help you detect new threats before they can cause damage. It can also help automate responses to attacks. It can also help you prioritize responses based on real-world risk.

Another benefit of using AI for cybersecurity is that it can quickly analyze large patterns. It can run over known malicious traffic patterns and identify malicious behavior. It can also help detect new malware without a code signature. It can also be used to detect suspicious user behavior.