Using Machine Learning and AI to Stop Hackers

Photo by FLY:D on Unsplash

Hacks can cause big problems for people and companies. A hack is when someone gets into a computer or system without permission. Hacks can let people steal private data or mess up or block computer systems. Luckily, new technologies like machine learning and artificial intelligence can help stop hacks from happening.

Machine learning lets computers learn from data to make decisions on their own. For example, machine learning can look at millions of past hacks and normal network activity. It learns what kinds of activity are dangerous and which are safe. Artificial intelligence uses machine learning to make computers act like humans in certain ways. AI can let computers understand language, solve problems, and more.

How ML and AI Keep Hackers Out

Here are some of the top ways ML and AI keep hackers out:

Detect Suspicious Activity

Hackers try many different tricks to get into systems. Their activity often looks different from normal users in small ways. Machine learning systems can detect tiny differences that humans would miss. For example, an AI security program may notice:

• Someone logs in at night when they usually only log in during the day
• A user opens files they don’t…