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AI cybersecurity is a critical tool to help IT teams keep pace with the constant stream of threats. Whether at the endpoint, network or cloud, AI systems can provide an additional layer of security by analyzing data and identifying anomalies to prevent cyber threats before they happen. They can also enhance incident response by providing improved context to prioritize and respond to alerts, and surface root causes for mitigation of vulnerabilities and prevention of future incidents.

Many organizations are deploying AI-based cybersecurity tools to stay ahead of attacks. Using machine learning, these systems can identify threats that traditional tools miss by comparing patterns of normal and abnormal behavior to detect deviations, such as suspicious login attempts or malware at an endpoint. They can also be used to prevent ransomware like the LockBit attack that crippled seaports and financial services companies this year by analyzing incoming traffic for signs of malicious activity.

At the same time, however, it’s important to note that no AI solution is infallible and it’s possible for these systems to fall prey to novel attacks designed to exploit their weaknesses. That’s why it’s vital that human oversight is an integral part of an organization’s overall security strategy.

Additionally, some AI-based security solutions may require sensitive personal information to function and that raises privacy concerns. It’s essential to conduct a thorough legal examination of AI systems before deploying them and to train employees on how to recognize and avoid phishing and other malicious attempts that are designed with the assistance of artificial intelligence.