It becomes noteworthy that AI is already actively involved in improving the cybersecurity industry. Today the threats are abundant and diverse, hence, conventional methods of security are not adequate. When it comes to threats, AI can also provide more enhanced or better option to protect and identify, as well as act on the threats quicker.
Machine learning is also a category of AI that enables a system to learn about a large pool of data to give an indication that a security threat is incoming. This proactive approach is useful for identifying new threats, which were not discovered before and drastically helps to decrease the response time. Some of the modern applications of AI are able to read network traffic, detect abnormalities, and report suspicious actions in real time.
Furthermore, AI also contributes to the task of reinforcing the predictable security chores, for instance, patch management, and vulnerability scanning, out of reach for routine personnel and many IT professionals. Through the constant updates and improvement, and ability to learn new challenges AI based security tool is a strong shield against the stubborn attacks.
As such, there is no doubt that with the constant development and innovation of new and severe cyber threats, the introduction of AI capabilities into more cybersecurity structures and processes is gradually becoming a necessity in ensuring the protection of valuable information and the sustenance of trust and reliability of organizations’ digital systems.
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