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Cybercriminals continue to develop new and dangerous methods of attack. As AI is more broadly adopted by organizations across industries, it’s becoming a crucial component in the overall defense strategy against cybersecurity threats. While the incorporation of AI can fortify security postures and optimize operational efficiencies, it’s imperative that organizations consider the ethical implications of leveraging this technology.

AI can help reduce the number of false positives, so that security teams can focus their efforts on detecting actual threats. It can also speed up incident response, enabling rapid detection and resolution of malware attacks and other security incidents.

A common example of AI security is in identity and access management (IAM). With this technology, hackers are less likely to gain unauthorized access to user accounts, as the system can recognize suspicious patterns in login behavior. The system can then flag these anomalies and surface them for the security team to investigate. If the risk score is high enough, the system can trigger additional verification factors like two-factor authentication or even block a login attempt altogether.

Another use of AI in IAM is in preventing phishing and zero-day vulnerabilities. With this technology, the system can identify all the endpoints within the organization’s network and detect if any of them are running outdated operating systems or software that has been compromised by attackers. It can then take action to protect those vulnerable endpoints by updating them with the latest patches and deploying IAM tools to prevent malicious users from accessing their accounts.