Close Cybersecurity Skills Gaps And Boost Threat Protection With Fortinet’s Multilayered Automated SOC Solution

Cybercriminals are having a field day using AI to deploy more sophisticated cyberattacks. Learn how you can provide your clients with more robust protection and reduce their risk without increasing headcount. 

  • July 24, 2023 | Author: Allison Bergamo
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Your clients aren’t the only ones to jump on the AI bandwagon. Cybercriminals are using generative AI tools to accelerate their reconnaissance, create more efficient phishing attacks and add more stress to your clients’ overworked and under-resourced security teams. With Fortinet’s multi-layered automated SOC solution, you can provide more robust protection and reduce risk without increasing headcount. 

Fortinet’s multi-layered automated SOC solution uses intelligent security automation tools that can not only reduce mean time to detection (MTTD) and mean time to response (MTTR), but they can also improve your clients’ operational efficiency. It provides a comprehensive toolset that includes:

  • Behavior-based sensors that can be deployed across the digital attack surface for early detection and response
  • A centralized platform for analytics and synergistic response
  • Outsourcing and consulting services for operational readiness, staff augmentation and assisted response

A key component of Fortinet’s SOC is Fortinet NDR. This network detection and response solution serves as a virtual security analyst by using artificial intelligence (AI) and machine learning (ML) to examine attacks and make decisions. It performs critical tasks including:

  • Detection of network anomalies by processing large amounts of north-south and east-west traffic at the perimeter and in the data center. It uses machine learning to profile traffic and detect anomalies and threats, such as encrypted attacks, malicious web campaigns, botnet-based attacks, intrusions and more.
  • Investigation and classification of the attack by tracking the original source of the infection with a timestamp. Then, it provides full visibility of the lateral spread from patient zero to all subsequent compromised systems.
  • Malware analysis determines the type of malware based on features observed by the FortiNDR deep neural network (DNN) and provides an event timeline for each infection event. This provides deeper insights into what the threat tried to do in a step-by-step fashion, including techniques employed.

Research shows that 90 percent of organizations currently automate at least some security operations processes, and 35 percent plan to purchase security operations tools to automate and orchestrate security operations in the next 12 to 18 months. Take advantage of this opportunity to enhance your clients’ security posture and your own bottom line. Learn more about Fortinet’s automated SOC solution here

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