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AI cybersecurity is a set of tools that use artificial intelligence (AI) to detect and mitigate threats to data or systems. The tools help reduce the window of opportunity for hackers, while also protecting employee and customer information. It also helps identify potential vulnerabilities and automate the incident response process by reducing the time it takes to analyze and respond to an alert.

Unlike traditional antivirus software that identifies malware by a specific code signature, AI security tools rely on behavior analysis to look for anomalies in device and network activity. They compare real-time device and network behaviour with a model of “normal” behavior from the organization and its users. By combining organizational and user behaviors into one model, AI is able to reduce false positives, making it easier for human security teams to focus on legitimate threats.

This type of technology can help improve the speed and accuracy of detecting cyber threats, which could save organizations valuable time and money. It can also prevent attacks that could have devastating consequences. But it’s important to remember that artificial intelligence isn’t infallible.

For example, hackers can inject a malicious script into the AI system or trick it into taking a particular action. This can be done by poisoning the training dataset with a known vulnerability, or via more subtle manipulation like introducing bias into a model.

To help ensure that an AI cybersecurity solution is secure, it’s important to conduct regular penetration testing and security assessments to identify and address potential vulnerabilities. Security teams can also minimize the impact of an AI-related attack by having a clear incident response plan that includes containment, investigation, and remediation.