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Fortinet Introduces Self-Learning AI Appliance for Sub-Second Threat Detection

Fortinet announced FortiAI, a first-of-its-kind on-premises appliance that leverages self-learning Deep Neural Networks (DNN) to speed threat remediation.

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DQC Bureau
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FortiAI 3500F

Fortinet announced FortiAI, a first-of-its-kind on-premises appliance that leverages self-learning Deep Neural Networks (DNN) to speed threat remediation and handle time-consuming, manual security analyst tasks.

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FortiAI’s Virtual Security AnalystÔ 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.

Self-Learning AI Adapts Organizations’ Threat Protection

To address these challenges faced by security professionals today, Fortinet is unveiling FortiAI Virtual Security AnalystÔ to accelerate threat remediation.

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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.

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I am sharing the media release with you. Request you to please give the announcement coverage in your publication. Please contact me if you would like to connect with or interview Rajesh Maurya, Regional Vice President, India & SAARC at Fortinet.

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