Many of us might have heard the terms AI, machine learning, and deep learning. Some of us also might have heard that they can have a big impact on cybersecurity. What are AI, machine learning, and deep learning actually? And how can they improve cybersecurity? In this article, we will discuss that.

What is Artificial Intelligence?

Artificial Intelligence or AI is the science and engineering of making a machine intelligent to perform tasks similar to those that require human intelligence. It can give machines the ability to learn without being explicitly programmed. For example, a machine can know the facts about a specific situation, and based upon that it can decide upon its action to achieve a goal. It can look at the previous steps of a game of chess and decide on what can be the best possible next move. A machine can know about the general facts of the world, facts about a particular situation, and a statement of a goal, and it can plan a strategy or sequence of actions using AI to achieve its goal.

Artificial Intelligence is widely used in many areas, like:

• Playing games like chess
• Speech Recognition
• Understanding natural language
• Computer vision
• Building expert systems

What is Machine Learning?

Machine learning is a subfield of AI that gives machines the ability to learn from data and make predictions based on that. For example, a machine can use machine learning to learn from a set of inputs and their corresponding outputs and, based on that, predict the output of new input data. Machine learning applications include spam filtering, Optical Character Recognition, search engines, computer vision, and cybersecurity.

There are three types of machine learning algorithms:

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

What is Supervised Learning?

In this technique, the machine is provided with a set of inputs and its corresponding outputs. The machine uses supervised learning to obtain general rules that map the inputs with the outputs. The algorithm typically iteratively makes predictions on the training input data and adjusts itself from the …