Fortinet enables sub-second threat detection with AI powered appliance

In News, Products

Fortinet announced FortiAI, on-premises appliance that leverages self-learning Deep Neural Networks (DNN) to speed threat remediation and handle time consuming, manual security analyst tasks. FortiAI’s Virtual Security AnalystÔ embeds cybersecurity AI directly into an organization’s network to deliver sub-second detection of advanced threats.

John Maddison, EVP of products and CMO at Fortinet said “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.”

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
Organizations 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.

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

Delivering tailored threat intelligence to significantly reduce false positives
False positives are a burden for security analysts to investigate and it is time consuming to determine threats versus non-threats. 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.

Comments

You may also read!

Remote workers under fire from RDP attacks

ESET, has today released its Q3 2020 Threat Report, summarizing key statistics from ESET detection systems and highlighting notable

Read More...

Kaspersky to address UN Internet Governance Forum

Kaspersky announced that for the first time, it is set to participate in the Internet Governance Forum (IGF), hosted

Read More...

Why good cyber hygiene is required now more than ever?

Derek Manky, Chief, Security Insights & Global Threat Alliances, FortiGuard Labs, explains why good cyber hygiene needs to be

Read More...

Join Our Newsletter!

Love SecurityMEA? We love to tell you about our new stuff. Subscribe to newsletter!

Mobile Sliding Menu