Business & Technology
Managing security, regardless of the size of the organization, has always been a complicated task. This is usually the result of a number of factors, ranging from not having enough skilled people on the IT staff to analyze the data to simply having too much data to analyze. In this scenario, threats easily get missed, and even if they do get discovered, it is often too late for security teams to do anything but clean up the mess.
It is for this reason that organizations should consider weaving AI into their security operations to more effectively overcome the complexity often associated with protecting networks.
Complexity can be broken down into four key challenges:
Fortunately, this is where technology is able to step in. Machine Learning (ML) and Artificial Intelligence (AI) are being rapidly adopted by organizations to perform mundane tasks that bog down security teams, such as correlating log files or performing device patching and updating. But while offloading such tedious tasks from your security staff is beneficial, it is a lot like using a race car to plow a corn field.
Fortinet’s ML and AI-driven Security Operations go well beyond the simple tasks most intelligent solutions have been designed for. The ML systems woven into our global FortiGuard Labs services, for example, constantly assess new files, web sites, and network infrastructures to identify malicious components of cyber crime campaigns, as well as dynamically generate new threat intelligence that allow organizations to predict and prevent cyber threats.
This intelligence is then delivered through FortiGuard’s subscription services (anti-malware, web filtering, etc.) available for our threat prevention products, including our flagship FortiGate security platforms. And this same Machine Learning is also built directly into many of our customer-deployed offerings to automatically detect previously unknown attacks that may reach the customer ahead of global threat intelligence updates
It is also a key element of advanced Expert Systems designed to aggregate, analyze, enrich, and alert on threats culled from the large volume of information received from an organization’s IT and security infrastructure, with the option to orchestrate and/or automate response to improve the efficiency of security operations.
These groundbreaking advances in AI enable the automatic prevention, detection, and response to cyber threats that human resources and siloed management platforms are unable to achieve. AI-driven Security Operations enable organizations to not only manage the sprawling collection of security devices they have in place, but also see and protect the data, applications, and workflows spread across thousands or millions of edges, users, systems, devices, and critical applications.
By building AI functionality directly into Fortinet’s security solutions, they can be integrated and deployed across a highly distributed network in a variety of form factors to create a unified and intelligent Security Fabric. These platforms range from ultra-high performance devices designed for hyperscale data centers and architectures, to virtualized platforms deployed as cloud-native solutions in private and public multi-cloud environments.
By weaving AI across the network through the Security Fabric, organizations enjoy comprehensive visibility and protection across all devices, users, endpoints, and environments. Centralized AI security solutions can also collect, correlate, and communicate across the Security Fabric to ensure faster and more comprehensive response and remediation than any human-led effort could possibly provide.
As a result, Fortinet customers benefit directly from the advanced artificial intelligence used in our Labs in their own organizations, enabling their cybersecurity systems to act like human cybersecurity professionals, including threat researchers, security analysts, incident responders, and more. This then enables the organization to reduce the risk and potential impact of security incidents by blocking more, detecting threats sooner, and responding faster, while also improving the overall efficiency and cost of their security operations.
By driving Fortinet’s AI-Driven Security Operations and advanced AI technologies deep into the distributed Security Fabric, organizations are able to significantly enhance their ability to detect and respond to threats and adapt security policies and protocols to network and connectivity changes in real time. This, in turn, amplifies and accelerates the services of on-staff threat researchers and data analysts, enabling them to correlate and process threat intelligence in real time, ensuring that they can more consistently and efficiently keep their organization out of harm’s way.
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Find out how Fortinet integrates AI and machine learning capabilities across our Security Fabric to detect, identify, and respond to threats at machine speed.