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AI cybersecurity enables IT and security teams to identify, analyze and respond to threats faster and more effectively. As the number and severity of cyber attacks grows, more organizations are deploying AI cybersecurity solutions to strengthen their defenses.

The use of AI in cybersecurity enables companies to detect abnormal behaviors and patterns that are often missed by legacy systems. This is achieved by combining data collected from various sources like user behavior, system logs and network traffic. This data is then analyzed and processed to look for recurring anomalies and patterns. Once a threat is detected, the automated AI model alerts human analysts, who can then take action.

In addition, AI-based security tools can reduce false positives at a scale and speed that human defenders can’t match. For example, organizations are typically flooded with hundreds or even thousands of daily security alerts. A good solution will cross reference these alerts in real time and look for correlated events that may indicate a malicious attack, such as malware infection, insider activity or ransomware.

ML algorithms also help AI cybersecurity tools better understand how users behave and what types of information they tend to share, which can be a key indicator of potential risk. This allows them to more quickly and accurately detect attacks like spear phishing, where attackers impersonate high-profile targets like company CEOs.

Finally, AI security solutions can automate response to threats and improve overall cybersecurity hygiene by reducing the amount of time and effort spent on manual tasks such as responding to incidents, performing penetration testing and updating policies. Learn more about the top eight AI-based security solutions that safeguard cloud workloads, endpoints and networks by downloading the full article.