FortiGate VM can enhance security measures, analyze network traffic patterns, identify potential threats, and respond to attacks in real-time. FortiGate VM provides consistent security across private cloud, public cloud. Its ability to be deployed in virtualized environments enables organizations to secure their cloud-based assets effectively and efficiently
FortiXDR is a robust cybersecurity solution that offers comprehensive threat detection and incident response capabilities. Its advances analytics and cross-domain approach enable organizations to effectively combat security threats across endpoints, networks, and the cloud. By utilizing FortiXDR, enterprises can enhance their security posture and better safeguard their digital assets against a wide range of cyber threats.
Advanced attacks are difficult, if not impossible, to detect using point security tools. FortiXDR can help block these attacks before a serious breach can occur. By analyzing security feeds from your entire Security Fabric, correlating related events into incidents, and investigating further using patent-pending AI, FortiXDR can initiate immediate cross-fabric actions to block the attack and any further activity. Built on the cloud-native foundation of FortiEDR, it is easy to deploy and continually curated by Fortinet experts.
Analytics, AI, and Automation
FortiXDR self-driving results are powered by analytics, AI, and automation from end to end. Unique threat detection and correlation analytics from FortiGuard Labs continually monitor security feeds to discover suspicious activity. The AI-powered decision engine then takes expert actions to fully investigate and evaluate any potential incident. Finally, pre-set policies execute blocking and remediation actions based on incident classification, user group, risk exposure, and other criteria.
Extended Detection
Applies Fortinet curated analytics to the correlated telemetry natively shared across the Security Fabric to identify high fidelity incidents
AI-Powered Investigation
Leverages a Fortinet deep learning engine, dynamically selected enriching, and microservices to replicate the investigation of security incidents typically handled by security experts.
Extended Response
Utilizes a granular, automatable framework to pre-define remediation actions across multiple security infrastructure controls
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