Fortinet introduces self-learning AI appliance for threat detection

Cybersecurity solutions company Fortinet released its on-premise appliance that leverages self-learning Deep Neural Networks (DNN) to speed threat remediation and handle time-consuming, manual security analyst tasks called FortiAI.

FortiAI’s Virtual Security Analyst 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.

While traditional cyber threats continue, the sophistication of advanced attacks, which are often enabled by artificial intelligence, machine learning, and open source communities, are constantly increasing. As a result, organizations and their defenses are challenged to keep pace with threat evolution.

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The attack surface is also expanding. Millions of new applications, growing cloud adoption and the increase in connected devices are creating billions of edges that security teams need to properly protect and manage. Organizations are challenged to keep pace with the threat volume resulting from many potential entry points.

Self-learning AI

To address the challenge of talent shortage in cybersecurity, Fortinet unveiled FortiAI Virtual Security Analyst 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 AnalystÔ effectively transform and adapt threat protection.

Deep Neural Networks

Deep Neural Networks (DNN) automates manual investigations to identify and classify threats in real-time. Organizations still using legacy security processes combined with limited security staff find it difficult to perform manual investigations for each threat alert. This creates additional risks including a data breach or security incident due to slow response time. To solve this, FortiAI automates investigations using DNN to identify the entire threat movement and uncover patient zero and all subsequent infections in a sub-second.

DNN also transforms security processes for instant detection and remediation of attacks. FortiAI’s Virtual Security Analyst significantly reduces the time organizations are exposed to threats by scientifically analyzing characteristics of threats and generating an accurate verdict to accelerate threat response.

On-premise AI

The technology also delivers tailored threat intelligence to significantly reduce false positives. Through tailored threat intelligence, FortiAI learns new malware features as it adapts to new attacks instantaneously and reduces 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.