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AI cybersecurity is the use of artificial intelligence to improve cybersecurity by automating detection and response to advanced threats. The technology helps organizations protect data, manage user access and accelerate vulnerability detection and remediation. Cyber attackers are more sophisticated and more resourceful than ever before, creating significant challenges for security teams.

Detecting and responding to cyber attacks requires a holistic approach across all threat vectors. To identify and prevent phishing attacks, ransomware, zero-day vulnerabilities, and more, AI cybersecurity uses automated detection to bolster traditional defense mechanisms. This enables the organization to reduce its attack surface and eliminate manual workflows, resulting in a more effective, efficient, and secure environment.

Before AI, cybersecurity systems relied on signature-based detection, which compared incoming network traffic to a database of known threat signatures. AI systems analyze patterns and behavior over time to recognize deviations from normal patterns and quickly respond to emerging threats. This capability is especially valuable for smaller or less-resourced cybersecurity teams that need consistent and long-term protection to minimize risks.

AI cybersecurity also enables organizations to enhance managed detection and response (MDR) capabilities through automation, speeding up remediation and reducing false positives. This is critical to limiting the time attackers have to exploit weaknesses in systems and networks. This is particularly important for sensitive industries like healthcare and financial services, where a single attack can significantly impact business operations. This also enables organizations to comply with industry regulations, such as those that govern e-discovery and incident response processes.