Fortinet Introduces Self-Learning Artificial Intelligence Appliance

FortiAI’s Virtual Security Analyst^TM embeds one of the industry’s most mature cybersecurity artificial intelligence – developed by Fortinet’s FortiGuard Labs – directly into an organization’s network to deliver sub-second detection of advanced threats.

“Fortinet has invested heavily in FortiGuard Labs cloud-based AI-driven threat intelligence, allowing us to detect more threats, more quickly and more accurately. FortiAI takes the artificial intelligence knowledge from FortiGuard Labs and packages it specifically for on-premises deployments. This gives customers the power of FortiGuard Labs directly in their environment, with self-learning AI to identify, classify and investigate sophisticated threats in sub-seconds”, said John Maddison, EVP of products and CMO at Fortinet

Security architects confront many challenges when it comes to discovering and remediating threats, including: Cybercriminals are becoming more sophisticated; The attack surface is expanding; Security teams are constrained due to the cyber skills shortage.

To address these challenges faced by security professionals today, Fortinet is unveiling FortiAI Virtual Security Analyst^TM to accelerate threat remediation. FortiAI handles many of the time consuming, manual tasks currently expected of security professionals, preserving their time for higher value security functions. FortiAI’s self-learning capabilities continue to get smarter once deployed in an organization’s network.

FortiAI leverages Deep Learning known as Deep Neural Networks, which mimic neurons in the human brain, to make complex decisions based on its scientific analysis of threats specific to the organization where it is deployed. As FortiAI’s artificial intelligence continues to mature, organizations benefit from having FortiAI’s Virtual Security Analyst^TM effectively transform and adapt threat protection.

Fortinet’s Deep Neural Networks (DNN) approach enables FortiAI to revolutionize threat protection by: Automating time-consuming manual investigations to identify and classify threats in real time; Transforming security processes for instant detection and remediation of attacks; Delivering tailored threat intelligence to significantly reduce false positives.

Another key distinction of FortiAI is that it offers on-premises AI suitable for organizations that have air gapped networks. Operational technology environments, government agencies and some large enterprises must adhere to strict compliance regulations and/or security policies that limit their network’s connection to the internet. FortiAI with its self-learning AI model does not require internet connectivity to learn and mature, enabling organizations with closed environments or stringent security policies to stay ahead of threats.

Fortinet has a longstanding history of helping customers strengthen their security posture by leveraging artificial intelligence. Some of the existing Fortinet offerings and services, complemented by the new FortiAI, that leverage various forms of AI, such as least squares optimization and Bayesian probability metrics, include: FortiGuard Labs Threat Intelligence, FortiSandbox, FortiEDR, FortiInsight, FortiWeb, FortiSIEM.

As cyber criminals look to exploit the expanding digital attack surface with sophisticated attacks, the breadth and depth of the Fortinet Security Fabric’s AI-driven technology provides customers with unparalleled threat prevention, detection and response that can be instant and automated.

“Deploying FortiSandbox to protect our organization against zero-day threats was seamless through Fortinet’s Security Fabric platform. FortiSandbox secures our perimeter, client and mail servers, and ultimately is protecting our assets from advanced unknown threats. Leveraging FortiSandbox’s AI-driven capabilities has helped us keep pace with AI-driven threats, all while providing an easy and simplified way to configure and manage our security”, said - Dario Palermo, System and Network Administrator at Ente Autonomo Volturno.