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AI cybersecurity is quickly emerging as a must-have technology to address the ever-growing and complex threats facing today’s organizations. While human security teams can no longer scale to adequately protect a large attack surface, AI allows for real-time threat detection and response, minimizing the dwell time of attackers within networks to prevent data exfiltration, system compromise or unauthorized access.

What sets AI tools apart from traditional security solutions is their ability to continuously learn and adapt over time. By analyzing huge amounts of data and recognizing anomalous patterns in the network, AI-powered tools can spot unusual behavior that might indicate a cyber attack before it has a chance to spread. This is especially useful for identifying new types of malware attacks that have not yet been identified with existing threat intelligence and definitions.

In addition, by using behavioral analytics and machine learning techniques, AI-powered tools can quickly detect abnormalities and alert security teams in near real-time. This significantly reduces the risk of a cyber attack or security breach by flagging suspicious activity to the team before the threat can spread, as well as automating many cybersecurity processes and freeing up valuable resources for critical tasks such as vulnerability management.

As with any technology, implementing AI into your organization must be done carefully and thoughtfully. Start small, incorporating AI into one or two aspects of your cybersecurity systems and monitor results — this will help ensure that the system is working correctly and doesn’t introduce additional vulnerabilities or risks to your organization.