AI-Driven Security Operations

/ Lecture
Applying artificial intelligence to accelerate the prevention, detection and response to cyber threats.

Fortinet uses artificial intelligence of different types in different places for different purposes. From information on global threats in our FortiGuard Labs, to embedded security controls across the organization, and even centralized advanced threat detection and response in SOC, advanced analysis helps security solutions and teams keep pace with the accelerating environment. Our security operations controlled by ML and artificial intelligence go beyond simple tasks for which the most intelligent solutions have been designed. For example, ML systems integrated into our global FortiGuard Labs services are constantly evaluating new files, Web sites, and network infrastructures to identify harmful components of cybercrime, as well as dynamically generating new threat information that enables organizations to anticipate and prevent cyber threats.

This intelligence is then delivered through our FortiGuard services (anti-malware, web filtering, etc.) that are available for our threat prevention products, including our core FortiGate security platform. Also, Machine Learning (ML) is built directly into many of our solutions to automatically detect previously unknown attacks that may reach a customer before updating global threat intelligence.
It is also a key element of advanced Expert systems designed to aggregate, analyze, enrich, and alert threats based on a wealth of information obtained from an organization's IT and security infrastructure, with the ability to orchestrate and / or automate responses to improve security operations.

These groundbreaking artificial intelligence (AI) benefits enable automatic prevention, detection and response to cyber threats that human resources and existing management platforms are unable to achieve. AI-driven Security Operations (security operations based on artificial intelligence) enable organizations not only to manage a large collection of security solutions that they have in place, but also to monitor and protect data, critical applications, and workflows extended to thousands of network points, users, systems, and devices.

Thanks to these advanced technologies based on artificial intelligence and deeply distributed Security Fabric technology, organizations are able to significantly increase their ability to detect and respond to threats and adapt security policies and protocols to changes in the network and connections in real time. This, in turn, strengthens and accelerates the services of threat researchers and data analysts, allowing them to correlate and process threat information in real time, ensuring that they can keep their organization out of harm more consistently and effectively.

What is AI-based cyber security?
Among the many benefits of cybersecurity, artificial intelligence (AI) can identify codes in vast amounts of data, allowing it to detect trends in malware functions and make threat classifications much faster than humans can. An AI-based virtual security operations analyst (SecOps) can quickly detect and respond to security incidents, helping human analysts and work at a higher level. Such cyber security technologies based on artificial intelligence can be benefitial for security teams  with low number of  employees and affected by the global lack of cyber security skills.

 
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