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Artificial intelligence (AI) has quickly become an integral technology in the cybersecurity world, with some predicting that AI will take over the majority of security roles by 2024. The adoption of AI is fueled by its ability to detect more sophisticated threats and provide more effective protection, as well as reduce costs associated with responding to cyber incidents.

Many of the top cybersecurity AI tools on the market use machine learning to identify new and unknown threats. These systems analyze large volumes of data in real-time to recognize suspicious patterns or anomalies that may indicate a cyber attack. They can then flag or automatically alert security teams, as well as take steps to mitigate the threat.

The best cybersecurity AI tools are those that offer advanced capabilities, such as the ability to recognize polymorphic malware, detect unauthorized data exfiltration, and correlate multiple events within a network to determine their impact. These systems are also capable of identifying malicious behavior that may go unnoticed by traditional, file-scanning antivirus software.

Organizations should ensure that their AI systems are securely configured and deployed by implementing secure development practices, ensuring that all access and sensitive data used in an AI system is adequately protected, and conducting regular security assessments and penetration tests to address any known vulnerabilities. In addition, they should choose a trusted third-party provider with proven security in place and follow rigorous evaluation and selection processes to ensure that the security features of an AI solution are robust.