Fortinet introduces enhanced AIOps capabilities

FortiAIOps builds on Fortinet's rich history of developing artificial intelligence to deliver actionable network insights for self-optimising management.

  • 1 year ago Posted in

Fortinet has introduced enhanced AIOps capabilities across its entire networking portfolio, including the industry’s first artificial intelligence-based network operations management for 5G/LTE gateways. When combined with the latest AIOps enhancements to Fortinet’s Secure SD-WAN and Wired/Wireless LAN portfolio, network operations teams have access to even more dynamic insights and event correlation across their entire network, making FortiAIOps the most complete AIOps network management platform in the industry.

 

Growing Urgency for AI-enhanced Network Automation

 

With accelerated digital innovation and the continued growth in the hybrid workforce, the network has never been more critical for business success. NOC teams are becoming increasingly reliant on artificial intelligence-based management tools like AIOps to maximise network visibility, improve the response time to anomalies and reduce ticket volume to remediate potential network issues. 

 

Gartner® goes one step further, saying, “As organisations continue to undertake digital transformation, IT operations no longer has the luxury of responding to issues after they occur. Instead, it must become proactive, get more involved in the entire value stream and, at a minimum, work to address potential issues before they impact user experience.”1

 

FortiAIOps Delivers Better Visibility and Control Across the Network

 

Fortinet started its artificial intelligence and machine learning journey a decade ago, and today, FortiGuard Labs can process over 100 billion security events per day, from more than 6 million devices, to provide actionable insights that help quickly identify zero-day threats and malware, reduce the number of false alarms, detect insider threats, and enable both automated and human cybersecurity responses.

 

FortiAIOps builds on this rich history in AI and ML to bring visibility to NOC teams by applying these principles to all layers of the network. Unlike many networking vendors, Fortinet uniquely converges networking and security across the LAN, Wireless LAN, and WAN and ties everything together with a single operating system and management console. Fortinet takes this one step further by integrating not just security, but also AIOps across the entire network to allow organisations to gain actionable Day 2 network insights that proactively optimise networks. Specifically, FortiAIOps provides configuration recommendations for hardware and software, and offers simplified resolution to trouble tickets.

 

Fortinet has advanced its FortiAIOps capabilities in the following ways:

 

SD-WAN

Fortinet was named a Leader in the 2022 Gartner Magic Quadrant™ for SD-WAN for the third consecutive year for Fortinet Secure SD-WAN, which now benefits from enhanced FortiAIOps capabilities, including the ability to track metrics such as interfaces, system resources, and ISP bandwidth, as well as dynamically compute SLA baselines to ensure that the best performance is always achieved.

 

Wired/Wireless LAN

From its inception, FortiAIOps has supported the Fortinet Wired/Wireless LAN portfolio, including FortiSwitch and FortiAP. This latest release enhances Fortinet’s existing Wired/Wireless LAN AIOps capabilities by improving its ability to provide NOC teams with real-time visibility of potential issues before network users are negatively impacted. Additional enhancements deliver configurable SLAs, allowing teams to customise and fine-tune their preferred network metrics to best represent their network health.

 

5G/LTE Gateways

The addition of AIOps capabilities to support FortiExtender 5G/LTE gateways makes Fortinet the only vendor providing AIOps on a 5G/LTE link. This critical evolution of AIOps expands visibility for NOC teams and allows analysis of data down to the WAN link level, not just at the SD-WAN abstraction level. This helps IT teams better diagnose issues and ensure resiliency.

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