Updated: Dec 27, 2020
Regardless of the size of the enterprise, security management is always a complex task. This is usually caused by many factors, lack of sufficient skilled IT staff to analyze the data or too much data to be analyzed. Eventually, the threat is missed or discovered too late, and there is no other way but to save the situation.
The challenge of security management
Many vendors: The first challenge is the result of many vendors and solutions. Recent research shows that 14% of CISO respondents indicated that they have deployed solutions from more than 20 different security vendors in their networks, and 3% of respondents indicated that the number of their security vendors exceeded 50. Due to digital transformation, the network is becoming increasingly complex, and the number of vendors deployed is increasing. So valuable information is more likely to be neglected than ever.
Many alarms: In the above studies, 35% of organizations need to track and confirm 10000 to 500000 alarms per day. Among them, less than a quarter of the alarms are confirmed to be true alarms by the investigation, which is more difficult for the IT staff who are already busy.
Lack of professionally trained personnel: The long-standing network security skills gap has further exacerbated these problems. Talents with general security skills are scarce, so they cannot manage and maintain all products in use, not to mention important security analysis.
Solutions provided by Fortinet
AI-driven security operations reduce complexity and overhead
Companies are rapidly adopting machine learning (ML) and artificial intelligence (AI) to perform routine tasks that overwhelm security teams, such as associating log files or performing device repairs and updates. Although it is beneficial to use these technologies to free security personnel from tedious tasks, they have not fully realized their potential. The capabilities of Fortinet machine learning and AI-driven security operations go far beyond the simple tasks targeted by most smart solutions.
Apply AI to the FortiGuard Global Threat Research and Response Laboratory
By integrating machine learning systems into the global FortiGuard threat research and response laboratory service, we continuously evaluate new files, websites, and network infrastructure to identify malicious components of cybercrime activities and dynamically generate new threat intelligence to help organizations predict and stop cyber threats.
Fortinet's customers can apply the advanced artificial intelligence used in the laboratory to their organizations, allowing its cybersecurity system to play the role of many human cybersecurity experts, including threat researchers, security analysts, and incident responders. This supports organizations to intercept more attacks, detect and respond faster, thereby reducing the risk and potential impact of security incidents while increasing the overall efficiency and cost of security operations.
Input AI capabilities into online products and solutions
Then, through FortiGuard security service subscription (malware protection, Web filtering, etc.) to deliver intelligence to our threat defense products, including the flagship product FortiGate security platform. We have also built the same machine learning capabilities directly into multiple products deployed on the client-side to automatically detect previously unknown attacks and prevent them from attacking customers before global threat intelligence updates.
At the same time, Fortinet makes special use of machine learning directly built into our web application firewall and terminal platform to provide behavior-based prevention to supplement traditional technology.
Apply AI to advanced threat detection and automatic response
In order to ensure timely response to threats, despite the wide variety of security products and the lack of network security professionals, Fortinet provides visualization of unified window interface, analysis, and automation of cross security architecture, multi-vendor environment, and well-defined security processes.
It is also a key element of the advanced expert system, which can summarize, analyze and enrich the massive information provided by the IT department and security infrastructure of the organization, issue threat alerts, and provide scheduling and automatic response options to improve the security operation efficiency.
Breakthroughs in the field of artificial intelligence (AI) support the automatic prevention, detection, and response of network threats, which cannot be achieved by manual operation. AI-driven security operations can not only help organizations manage an increasing number of security devices but also view and protect data, applications, and workflows distributed across thousands or millions of edges, users, systems, devices, and critical applications.
AI-driven security operations regain control of the organization
By building AI functions directly in the Fortinet security solution, they can be integrated and deployed in a highly distributed network (in different deployment forms) to create a unified intelligent Security Fabric platform. These platforms include ultra-high-performance equipment designed for ultra-large-scale data centers and architectures, as well as virtualization platforms deployed as cloud-native solutions in multi-cloud environments such as private clouds and public clouds.
By adopting the Fortinet Security Fabric platform and integrating AI into the entire network, organizations can not only enjoy comprehensive visibility and protection across all devices, users, endpoints, and environments. Centralized AI-driven security operations can also realize collection, association, and communication operations, and according to network and connection changes, real-time adjustment of security policies and protocols to provide the faster and more comprehensive response and repair than any manpower, so as to protect the organization from attacks more consistently and efficiently.