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AI cybersecurity

The security industry continues to face a multitude of new vulnerabilities and threats. As a result, the industry has had to develop more advanced security technology. One of the ways they have done this is through artificial intelligence (AI). AI cybersecurity aims to identify potential risks and attacks by using machine learning. This can help to shorten threat identification time and prevent breaches by flagging any unusual activity.

While there are many benefits to implementing AI cybersecurity, the technology is not without its drawbacks. Often, it can create false positives and cause unnecessary alarms. Moreover, if AI is not properly implemented, it can also lead to biases and discrimination that may undermine the effectiveness of an organization’s cybersecurity.

Cybersecurity AI can help to detect a multitude of different kinds of threats including viruses, malware, ransomware, bots and more. By analyzing data collected from devices and networks, AI can compare live behavior with a model of “normal” activity from both the organization and its users. This helps to reduce the number of false positives and false negatives, allowing for more efficient detection and response.

Furthermore, AI can be used to assess the effectiveness of various infosec tools and processes. This can help to provide context for prioritization and faster response to security alerts, as well as to identify root causes so that organizations can correct any weaknesses. In addition, AI can also be used to predict where an organization is most likely to be breached, helping to better allocate resources and tools to minimize the risk of a data breach.