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AI cybersecurity uses artificial intelligence to reduce the risk of cyberattacks by automating tasks and analyzing data to recognize patterns that human analysts might miss. It works to detect and respond to threats quickly, protecting systems from damage or data breaches before they can cause serious consequences.

AI cyber security tools use advanced machine learning techniques to analyze a large number of network requests, endpoint activities and user behavior in real time, identifying deviations from normal behaviors. They can then take immediate action that could otherwise be impossible or extremely costly for human teams to accomplish.

The ability to detect and respond to threats in real-time makes AI an essential part of any cybersecurity toolkit. This is particularly important for organizations that rely on complex IT infrastructure, such as those in the finance, healthcare and energy industries. AI can identify and respond to risks faster than humans, reducing incident response times by up to 14 weeks, according to IBM.

Another key function of AI for cybersecurity is detecting insider threats. These threats can cost organizations revenue, trade secrets and sensitive information. AI can help prevent them by recognizing risky user behavior and blocking sensitive data from leaving an organization’s networks. It can also identify shadow data, or unmanaged information that’s copied, stored and not formally managed by the team or business that owns it.

AI can also improve phishing protection by analyzing the content of email messages and identifying malicious attachments and URLs. It can also detect and flag suspicious financial transactions that might be a sign of a breach.