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Fortinet Enhances Security Operations with AI Integration

Fortinet has announced significant upgrades to its Security Fabric platform with the integration of advanced AI capabilities, aimed at alleviating the burden on security and network analysts. Michael Xie, the company’s founder, president, and chief technology officer, emphasized that these enhancements will bolster operational efficiency, speed, and accuracy in security and networking tasks. Alongside these improvements, Fortinet is expanding its monitoring capabilities to help organizations manage the deployment of Generative AI (GenAI) services.

New AI-Driven Functionalities

The enhanced Security Fabric incorporates several innovative features designed to improve threat detection and response:

• The system can now prioritize security alerts based on assessed risk, contextual data, and historical trends, minimizing the noise created by duplicate notifications and focusing on high-confidence threats.
• It supports adaptive threat hunting, enabling proactive scanning of logs, network activity, and user behavior to identify potential threats autonomously.
• Root-cause tracing has been improved using AI-driven methods that trace the origin and impact of attacks, facilitating more efficient response strategies.
• The solution offers enhanced proactive defense mechanisms by correlating attack patterns with known adversary tactics, helping to anticipate and mitigate future threats.
• Automation features have been added to streamline network configuration and security policy updates, including the validation and rectification of current settings.

Visibility for AI Applications

A notable addition to the Security Fabric is FortiAI-Protect, which enhances visibility and control for enterprise-level AI applications. This feature has the capability to identify AI application usage across more than 6,500 recognized AI URLs, including those linked to generative AI initiatives. Fortinet aims to assist security teams by providing insights into the intended applications of these AI tools, the training models applied, and the data pathways involved.

The integration of these AI functionalities signifies Fortinet’s ongoing commitment to strengthen cybersecurity resilience while adapting to the evolving landscape of technology and its potential vulnerabilities. As organizations increasingly adopt AI-driven solutions, the need for robust monitoring and control mechanisms becomes paramount, ensuring that innovation does not come at the expense of security.

Source
www.networkworld.com