Fortinet boosts threat detection & response with AI-based NDR service

By Pranali Mehta  | Date: 2022-05-26

Fortinet boosts threat detection & response with AI-based NDR service

American cybersecurity company, Fortinet has unveiled artificial intelligence (AI)-powered network detection and response (NDR) system, dubbed FortiNDR, as a part of its detection and response portfolio.

Speaking on the AI service, John Maddison, CMO of Fortinet, mentioned that with FortiNDR, the company is seeking to integrate solid network detection and response to Fortinet Security Fabric.

FortiNDR resembles the security vendor’s portfolio of detection & response services in the sense that it is integrated with Fortinet Security Fabric along with API integrations for third-party services providing coordinated response for identification of threats.

Originally launched in 2016, the Security Fabric offers visibility in real time across all applications, enables interoperability within security technologies, control, and automation using a single console.

Moreover, FortiNDR – featuring advanced AI capabilities, purpose-built machine learning, pragmatic analysis, and deep learning – automatically detects threat and responds to any unusual network activity ensuring effective protection against security incidents.

Essentially, FortiNDR relies on AI capabilities and advanced analytics for demarking baselines of normal network activity so as to identify deviations that may indicate cyberattacks. 

Owing to a virtual security analyst, the AI-service helps get rid of human analyst functions by assessing code created by malicious traffic.

The virtual security analyst – which is designed using deep neural networks capabilities – has been pre-trained by Fortinet with more than 6 million malicious as well as safe features catering to IT/OT-based malware identification and classification.

FortiNDR – a breakthrough addition to Fortinet’s detection & response portfolio

  • The latest NDR service is the newest member of Fortinet’s portfolio catering to threat detection and response, which comprises of endpoint detection & response (EDR), extended detection and response (XDR), and managed detection and response (MDR) services.
  • It will also serve larger organization of security teams with pre-implemented EDR service for expansive analytics and detection of abnormality throughout an organization’s network.

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Pranali Mehta

Pranali Mehta

A chemical engineer by qualification, Pranali Mehta has dutifully walked down the slated path and worked in the chemicals industry for a year. Her passion for writing however, pushed her into experimenting with the same as a career. With over three years of experience...

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