Inside Cyber

CHAPTER 8Some Subdomains of Artificial Intelligence

The following list describes some of the subdomains of artificial intelligence (AI). Later in the chapter, two of the enabling components of AI are introduced, followed by a list of common terms used in the discipline. The chapter concludes with a graphic showing how AI works.

• Machine learning (ML). ML is the science of making a computer behave without programming. ML allows a system to “learn” how to extract information from data on its own. It can be viewed as the quick automation of predictive analytics and frequently works in conjunction with AI. ML offers the quickest method for discovering new cyberattacks, deriving statistical conclusions, and delivering that data to endpoint protection platforms in the field of cybersecurity.

  ML trains a machine to draw conclusions and take actions based on prior knowledge. Without requiring the use of human experience, it finds patterns in historical data and analyzes it to deduce the meaning of individual data points and draw conclusions. Businesses may save time and make better decisions by using automation to evaluate data and draw conclusions.

• Deep learning. Deep learning is another ML technique. It teaches a machine how to classify, infer, and predict an outcome by processing inputs through layers.
• Neural networks. Human neural cells and neural networks operate according to comparable principles. These are a set of algorithms that process the data in a manner similar to that ...