AI technology that is faster and more accurate than humans, such as face recognition technology and voice recognition technology. It has become an indispensable technology in modern society, from the field of production to engineering and business. Did you know that the application of AI extends to the security field as well?
In this article, we will review AI and introduce examples of AI being used in the security field.
Table of Contents
What is AI
AI (Artificial Intelligence) is an abbreviation for Artificial Intelligence, which is a combination of two words: Artificial + Intelligence. It refers to the field of research that allows computers to perform complex and intellectual tasks that humans perform, such as “finding common points from multiple images” and “translating foreign languages.” By having AI learn a huge amount of data, it is characterized by being able to make faster and more accurate decisions than humans. As of 2023, it is being used in various fields such as image recognition and voice recognition. AI research has been conducted since the 1970s and has developed along with the development of computers and the Internet. There are various types of AI learning methods, and “machine learning” and “deep learning” are also one of the methods of learning AI.
What is the difference between machine learning and deep learning?
“Machine learning” and “deep learning,” which are often heard in connection with AI, are also terms related to AI learning. Making AI learn by itself is called “machine learning”, and “supervised learning” learns a model using pairs of input data and output data. “Unsupervised learning” makes AI search for patterns and structures in the data itself. There is also “reinforcement learning” that makes AI itself perform trial-and-error tasks. “Deep learning” is a learning method positioned as one of the methods of “supervised learning”. AI is a method that automatically learns from a huge amount of data using a multi-layered neural network (a network that refers to a mathematical model created to imitate the movement of human cranial nerves). Since it automatically learns a huge amount of data, it takes time to learn, but it is characterized by higher accuracy than ordinary machine learning.
What AI is good at
Image and speech recognition through prediction and classification. AI can be used in a wide range of fields, such as advertising and marketing through data clustering (grouping), game AI and autonomous driving through reinforcement learning. Before looking at examples of AI being used for security, let’s review what AI is good at.
Using large amounts of data learning and recognition
AI is good at finding patterns in huge amounts of data. For example, it is possible to detect fraudulent use from credit card usage patterns. In addition, by monitoring security logs on personal computers with AI, security logs can be detected when attacked from the outside, and damage can be minimized in the event of a cyber attack. AI is also used when diagnosing the security of websites, etc.
image recognition
Image recognition is a technology that recognizes people and objects displayed in images. For example, it is possible to extract only photos containing apples from a large amount of photo data or to extract only a specific person from a photo containing many people.
voice recognition
The technology that AI converts human voices into characters is called speech recognition. Converts voice input with a microphone into data that is easy for a computer to recognize. The audio is automatically transcribed by decomposing and recognizing the sounds extracted from the input audio.
What is AI-based security?
The use of AI technology for security is mainly used for data management and countermeasures against cyberattacks.
Abuse detection
AI is used to detect fraudulent use of credit cards and bank withdrawals. Since the AI ​​learns from normal usage as data, it can detect abnormal usage such as usage in a place far from where you live or purchases that are more expensive than usual, thereby preventing damage from unauthorized usage. Keep it to a minimum.
Protect your computer and personal information from cyber attacks
AI technology is also used to protect computers and personal information from cyberattacks such as malware, computer viruses, and hacking. By monitoring and analyzing security logs, it is possible to learn the difference between normal times and attacks and to minimize the damage of cyber attacks. By learning the normal behavior of the program, it is possible to quickly detect the behavior when infected with malware or viruses.
Image recognition technology detects face recognition technology and abnormal behavior
The familiar face recognition for unlocking smartphones is also based on AI technology. AI can analyze and recognize facial features such as the position and shape of the eyes, nose, and mouth. AI-based image recognition technology is also used to detect people moving in unusual ways.
How to easily experience AI?
There are many types of AI-based security, but it is difficult to experience because it is expensive and requires specialized knowledge. To easily experience AI technology, we recommend a service that is easy to introduce and allows you to feel the effects more. With the automatic minutes creation tool, you can quickly and easily create the minutes of meetings and business negotiations that take time and effort.
summary
AI, which is active in various industries and fields, is also being used in the security field. Although it is difficult to experience security using AI, AIGIJIROKU is recommended if you want to easily incorporate AI technology. In addition to supporting real-time translation in 30 languages, AI that has been enhanced for each industry will transcribe professional meetings and business negotiations without leaving anything behind.
