{"id":26972,"date":"2022-04-18T14:54:00","date_gmt":"2022-04-18T14:54:00","guid":{"rendered":"https:\/\/easydmarc.com\/blog\/?p=26972"},"modified":"2025-05-08T19:01:17","modified_gmt":"2025-05-08T19:01:17","slug":"the-use-of-artificial-intelligence-in-cybersecurity","status":"publish","type":"post","link":"https:\/\/easydmarc.com\/blog\/the-use-of-artificial-intelligence-in-cybersecurity\/","title":{"rendered":"The Use of Artificial Intelligence in Cybersecurity"},"content":{"rendered":"

The digital age has created several opportunities for us, and at the same time, we\u2019ve been exposed to a whole new level of cyberthreats. There\u2019s no denying that cybersecurity is now an integral part of every business that wants to avoid being a victim of identity theft, data breaches<\/a>, and other cyber risks.\u00a0<\/span><\/p>\n

Cybercriminals are constantly searching for ways to compromise networks and steal sensitive information. These techniques are getting more advanced, and they might be challenging to detect by humans or traditional defense solutions.\u00a0<\/span><\/p>\n

For this reason, organizations are looking to adopt AI techniques<\/a> to strengthen their cybersecurity defense plan. <\/span>Artificial intelligence in cybersecurity<\/b> can provide organizations with insights to help them understand and defend against these threats.\u00a0<\/span><\/p>\n

Read on to learn about the use and <\/span>benefits of artificial intelligence in cybersecurity<\/b><\/a>.\u00a0<\/b><\/p>\n

But first, let\u2019s introduce you to artificial intelligence and its types.\u00a0<\/span><\/p>\n

What is Artificial Intelligence?<\/b><\/h2>\n

Artificial intelligence simulates the human intellect into machines, especially computer systems. AI aims to program devices to think like humans and imitate their actions. Also, we can ascribe this term to any machine that can exhibit traits associated with the human mind, such as problem-solving and learning.\u00a0<\/span><\/p>\n

The term \u201cartificial intelligence\u201d was coined at a summer conference at Dartmouth University. Today, the application of AI has significantly impacted people\u2019s lives. We now have machines that can drive cars, understand verbal commands, produce video content<\/a>, distinguish pictures, and play popular video games<\/a>.<\/span><\/p>\n

One of the impressive characteristics of artificial intelligence<\/a> is its capacity to reason and take actions that are best for achieving a particular objective.\u00a0<\/span><\/p>\n

Types of Artificial Intelligence<\/b><\/h2>\n

There are several types of artificial intelligence, and familiarizing yourself with them will help you understand. Below are a few popular types of artificial intelligence.<\/span><\/p>\n

Weak (Narrow) AI (ANI)<\/b><\/h3>\n

This is also known as Artificial Narrow Intelligence, and it\u2019s one of the most frequently experienced forms of AI. Every artificial intelligence machine we use every day is Weak Narrow AI. This type of AI performs under limited restrictions. For instance, a voice recognition AI machine predicts people\u2019s voices based on the dataset used to train it.\u00a0 Weak or Narrow AI comes in two types.\u00a0<\/span><\/p>\n

Reactive Machines<\/b><\/h4>\n

This type of AI machine views the world directly and acts on what it sees. Artificial intelligence is completely reactive, with neither memory nor actions based on past experience. Rodney Brooks, an AI researcher, argued that people should only design this kind of AI in a seminal.\u00a0<\/span><\/p>\n

An excellent example of a reactive machine is Deep Blue, an IBM\u2019s chess-playing supercomputer that beat Grandmaster Garry Kasparov in 1997. The supercomputer didn\u2019t act on a pre-designed dataset or search for previous matches.\u00a0<\/span><\/p>\n

Limited Memory<\/b><\/h3>\n

This is similar to reactive machines but with a historical dataset, enhancing decision-making. Most AI machines available today are limited memory machines powered by datasets. AI machines utilize deep learning and are trained to use an enormous amount of data stored in their memory to act as a reference model for solving problems.\u00a0<\/span><\/p>\n

A typical example is an AI object detection machine designed to identify and label certain things like a car or a house from a photo. It can identify a car or house from the previously trained historical dataset.\u00a0<\/span><\/p>\n

Strong (General) AI (AGI)<\/b><\/h3>\n

Another category of AI machines is Strong AI or Artificial General Intelligence. This design allows an AI machine to apply skills and knowledge in different contexts. These machines are closer to human intelligence as they offer problem-solving and autonomous learning opportunities.\u00a0<\/span><\/p>\n

You\u2019ll find this type of AI in sci-fi movies. Nowadays, AGI can show superhuman performance on a limited number of tasks. (For example, object detection, noise detection, or task automation). We can categorize AGI machines into two primary forms:\u00a0<\/span><\/p>\n

Theory of Mind<\/b><\/h4>\n

It\u2019s an advanced class of AI technology, but it still exists only as a concept. Theory of the Mind AI machines need to understand people\u2019s behavior and feelings in an environment. This AI advancement simulates people\u2019s emotions, thoughts, and sentiments. A good example is Kismet, designed in the 1990s with the ability to imitate human emotions and identify them.\u00a0<\/span><\/p>\n

Self-Aware<\/b><\/h4>\n

This type of AI can be seen in AI movies. The AI machines that can think independently and overtake humanity are the ideals of self-aware AI. Most people believe that the <\/span>future of AI in cyber security <\/b>may be closely connected with humans.\u00a0<\/span><\/p>\n

Artificial Superintelligence (ASI)<\/b><\/h3>\n

This form of AI is more advanced than the strong AI, with the potential to play a key role in the evolution of human beings. These AI machines will not only replicate human intelligence, but will be better at everything. ASI machines will be designed with better decision-making capabilities, faster data analysis and processing, and better memory.<\/span><\/p>\n

Popular AI Models in Cybersecurity<\/b><\/h2>\n

The cybersecurity issues faced by businesses today are massive. Detecting and avoiding these attacks can be daunting. Cybersecurity researchers have recently been designing security models and making predictions using AI models to counter these problems.\u00a0<\/span><\/p>\n

There\u2019s a wide variety of AI models, and some are better at solving specific cybersecurity problems than others. That said, it\u2019s vital to understand the AI models that can help strengthen your cybersecurity plan. Below are popular AI models in cybersecurity.\u00a0<\/span><\/p>\n

Logistic Regression<\/b><\/h3>\n

This AI model can provide binary results. It\u2019s a statistical method used to predict the probability of events by considering historical data points. For instance, logistic regression can predict whether a person will win an election or whether it\u2019s going to rain. This AI model also offers benefits in the field of cybersecurity as it can help to predict whether an email is spam or not.\u00a0<\/span><\/p>\n

\"1d\"
Source: <\/span>https:\/\/dzone.com\/articles\/top-10-most-popular-ai-models<\/span><\/a>\u00a0<\/span><\/figcaption><\/figure>\n

Decision Trees<\/b><\/h3>\n

This is the simplest AI model used in cybersecurity. It\u2019s a binary tree consisting of a \u201cYes\u201d or \u201cNo\u201d decision at each split until it gets to the resulting node. The AI model is easy to implement and doesn\u2019t require data normalization to solve several cybersecurity issues. This algorithm can help intrusion detection systems to understand signatures and classify events in the network.\u00a0<\/span>\"2d\"<\/p>\n

Source: <\/span>https:\/\/dzone.com\/articles\/top-10-most-popular-ai-models<\/span><\/a>\u00a0<\/span><\/p>\n

Naive Bayes<\/b><\/h3>\n

This is a simple, yet robust model for solving a vast range of complex problems. This AI model can help determine two types of probabilities:<\/span><\/p>\n