“Using natural language queries, teams can easily clarify the reason behind the alerts that are generated, understand the risk, such as how an attacker could compromise the system, gain step-by-step guidance on how to investigate and respond, and streamline the remediation of issues with syntactically correct code,” Fortinet stated.
Fortinet has been adding support for AI-related technology throughout its product portfolio. For example, it recently announced that its FortiGate NGFW now includes real-time inline detection and prevention of AI-powered attacks. An upgrade to the AI-powered Inline Malware Prevention Service includes new features such as real-time anti-phishing and an accelerated AI pre-filter, according to Fortinet.
FortiAnalyzer, which is the vendor’s security analytics and log management platform, also recently gained AI-based enhancements. The features include the ability to learn and detect network configurations, events, and alerts, along with advanced threat visualization, according to the company. It also introduced a Security Automation Subscription that offers features such as premium reports, event handlers, and incident response playbooks.
Other Fortinet Security Fabric AI enhancements improve threat analysis and response and streamline network and security operations by tying FortiAI system into the vendor’s core data lake. This is aimed at helping security operations teams make more informed decisions, respond to threats faster, and simplify routine and complex tasks.
