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AI cybersecurity is a growing area of technology, and it offers major benefits for businesses. It can sift through large amounts of data to identify abnormal behavior and quickly detect new attacks, like zero-day threats.

In addition, AI can be used to proactively monitor networks for malicious traffic and even the behaviors of hackers before they reach an endpoint. This approach is faster than traditional security solutions, and it can be implemented at the edge of the network to protect devices from new threats before they’re coded into signatures for malware detection.

A number of vendors are using AI in cybersecurity, including Crowdstrike, Anomali, and Falcon. The technology can be used in a variety of ways, from being a stand-alone algorithm to incorporating it into endpoint protection systems at the hardware level.

The software can also integrate with other tools to improve security response and incident triage processes. This includes automatically analyzing threat intelligence feeds, correlating information and leveraging enrichment to speed up analysis.

Cybercrime is a rapidly evolving threat landscape, so it’s critical for protection systems to keep up with new types of malware, phishing and exploitation methods. This isn’t a simple task, and it requires the ability to react to changes in threat tactics by second-guessing the signs that indicate a threat might be lurking.

It can also help organizations understand the strength of their security program and what areas need improvement. This can be done through prescriptive insights derived from AI analysis, which can allow companies to plan resource allocation and enhance controls to optimize their cyber resilience.