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The cybersecurity landscape is complex and ever-evolving. Amid a talent shortage and vast attack surface, defending against sophisticated threats is challenging for human teams. This is where AI comes in, delivering the intelligence, automation and speed needed to tackle today’s most dangerous cyberattacks.

Discover Unknown Threats

Powered by supervised and unsupervised machine learning, AI security tools monitor endpoints, network traffic, cloud environments and user behaviors to establish baselines of normal operation and detect anomalous activity that can be a sign of compromise. This allows them to identify unknown malware, uncover new attack vectors and pinpoint vulnerabilities that could be exploited by hackers.

Prioritize Risk, Detect and Respond to Incidents

By analyzing vast volumes of data in real time, AI security tools help reduce false positive alert fatigue, while speeding up the investigation and response times for high-risk incidents. Adding machine learning to this process also enables security teams to better understand the context of each incident to prioritize and address them.

Protect Users and Organizations

By monitoring user behavior in real-time, AI strengthens identity access management (IAM) systems to determine whether an incoming request is safe or not. This can be based on a variety of risk factors, like if the user is logging in from a different device, attempting to reach systems outside their role, or looking to download files they shouldn’t have.

Finding the right AI cybersecurity tool starts with evaluating your organization’s security goals, operational needs and budget. The best tools will integrate with your existing infrastructure and offer the functionality you need to address your business requirements.