5YR SUB FORTISIEM CLD ARCHIVE500GB STORAGE ANNUAL

As digital transformation sweeps through every industry, the attack surface grows dramatically (and constantly), making security management increasingly difficult. Security teams struggle to keep up with the deluge of alerts and other information generated by their multitude of security devices. And the cybersecurity skills gap only makes this more difficult.

Infrastructure, applications, and endpoints (including IoT devices) must all be secured. This requires visibility of all devices and all the infrastructure - in real time. Organizations also need to know what devices represent a threat and where. Security Information and Event Management (SIEM) Solutions plays a major role for organizations by analyzing event data in real time, allowing for early discovery of data breaches and targeted attacks.

FortiSIEM brings together visibility, correlation, automated response, and remediation in a single, scalable solution. It reduces the complexity of managing network and security operations to effectively free resources, improve breach detection, and even prevent breaches.

What's more is that the architecture enables unified data collection and analytics from diverse information sources including logs, performance metrics, security alerts, and configuration changes. FortiSIEM combines the analytics traditionally monitored in separate silos of the security operations center (SOC) and network operations center (NOC) for a more holistic view of the security and availability of the business.

In addition, FortiSIEM UEBA leverages machine learning and statistical methodologies to baseline normal behavior and incorporate real-time, actionable insights into anomalous user behavior regarding business-critical data. By combining telemetry that is pulled from endpoint sensors, network device flows, server and applications logs, and cloud APIs, FortiSIEM is able to build comprehensive profiles of users, peer groups, endpoints, applications, files, and networks. FortiSIEM UEBA behavioral anomaly detection is a low-overhead but high-fidelity way to gain visibility of end-to-end activity, from endpoints, to on-premises servers and network activity, to cloud applications.

Key Points

Product Features