When looking into cybersecurity trends for 2022, a major topic is artificial intelligence and machine learning. If you are not familiar with these terms, Microsoft defines, artificial intelligence as “the capability of a computer system to mimic human cognitive functions such as learning and problem-solving.” Machine learning is “the process of using mathematical models of data to help a computer learn without direct instruction.” AI and machine learning have already brought many changes into the cybersecurity field and will continue to be a major trend.

To clarify, AI and machine learning are very similar, but machine learning is considered a subset of AI. There are a few steps that demonstrate how the two ideas are connected. First, an AI system is built using machine learning. Machine learning models are then created by studying patterns in data. The data scientists optimize the machine learning models based on patterns in the data. Lastly, the process repeats and is refined until the model’s accuracy is high enough for the tasks that need to be done

In today’s world, many different industries are incorporating AI and machine learning to benefit their processes and product or services outcomes. These industries include cybersecurity, retail, transportation, finance, healthcare, marketing, customer service, and manufacturing. Therefore, we can see how evident AI and machine learning have become in various industries. Adding artificial intelligence and machine learning into just about any business is shown to increase operational efficiency, add more sources of data input, and create better and faster decision- making. Another great factor is that AI enabled threat detection systems can predict cyberattacks and identify data breaches instantly to the businesses admin. This is a crucial step that businesses can take for security protection.

As beneficial and advanced AI and machine learning have become, this trend is expected to continue to grow this year. Building machine learning models has made companies products and processes much stronger, and it is certainly recommended to implement into your business.

Source; Microsoft Azure