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AI cybersecurity is an emerging technology that uses machine learning (ML) algorithms to analyze data and identify security threats. The technology has the potential to enhance security in several areas, including detection of new attacks, breach risk prediction, and threat control.

New Threat Detection: Cybercriminals are constantly coming up with new ways to attack and exploit systems. Using AI cybersecurity software to monitor user behavior and patterns allows companies to intercept suspicious activity before it becomes damaging.

Bot Blocking: Cybercriminals often use bots to access sensitive company systems, so AI programs can help organizations identify which bots are allowed and which ones pose a threat. This helps organizations avoid malware or other infections, and also prevents bots from gaining access to customer information.

Improved Network Security: AI cybersecurity systems can handle and understand vast amounts of data and network traffic that security teams typically struggle to process. These technologies can recommend the right policies and workloads, which can save time and effort.

Better Vulnerability Management: By analyzing network topography, AI cybersecurity software can automatically identify and prioritize vulnerabilities, allowing organizations to focus on the most critical threats and manage them more effectively.

However, AI cybersecurity software is vulnerable to data manipulation and poisoning, so it must be protected to preserve its integrity. To ensure the safety of this technology, cybersecurity professionals should always run red team exercises to test the AI’s ability to protect against real-world threats.