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AI cybersecurity is a new trend in the cyber security industry. The technology leverages proactive machine learning to enhance protection from emerging threats that traditional signature-based methods may not pick up. It monitors live activity and compares it to a model of “normal” behavior from the organization and users, flagging anomalies as they occur. This helps to reduce false positives and false negatives, resulting in faster detection and response times.

Additionally, an AI-enabled solution can automatically take steps like isolating a device from the network or deleting malicious files, which could have taken hours or weeks using traditional processes. This helps to contain threats before they can spread and cause damage to the organization’s infrastructure, further protecting against a data breach.

Many companies are investing heavily in AI solutions to protect against cyberattacks. However, reliance on these technologies can lead to security gaps if human oversight is not in place. This can result in a lack of understanding of the results of an AI system, which can create a risk of biased decision-making. This is why organizations need to implement cybersecurity policies, guidelines and training that are aligned with their security architecture.

It is also critical to have a clear incident response plan in place. This should be a well-defined process for responding to incidents that occur in the event of a breach, including the containment and recovery of data and ensuring compliance with all regulations and standards.