© 2024 AIDIGITALX. All Rights Reserved.

Artificial Intelligence Boosts Micro-segmentation for Stronger Security

Microsegmentation Artificial Intelligence Boosts Micro-segmentation for Stronger Security

What is Micro-Segmentation?

Micro-segmentation refers to a network security approach that allows security experts to logically divide a data center into specific security sections, going as far as the individual workload level. Within these divisions, unique security controls and services can be defined and implemented. This technique employs network virtualization technology to establish adaptable security rules deep within a data center, eliminating the need for multiple physical firewalls.

Moreover, micro-segmentation can safeguard each virtual machine (VM) across a corporate network by using security controls driven by policies at the application level. Because these security measures are applied to distinct workloads, the use of micro-segmentation software can significantly enhance a company’s ability to withstand cyberattacks.

How AI Enhances Micro-segmentation

Micro-segmentation is like dividing your digital world into smaller sections to protect it better. It’s really important for the people who keep your digital things safe and want to use cloud technology to make things faster and better.

There’s a prediction that nearly all cloud security problems in the next few years will be because of users. Getting micro-segmentation right in cloud setups can make or break any plans to trust your network. Many businesses moving to the cloud want to trust it, but not all of them are confident it’ll work great for them.

Micro-segmentation splits your network into small parts and protects them differently to stop bad things from spreading. It’s like building strong walls inside your network to keep problems in one place. This helps keep your important things safe even if something goes wrong.

Artificial intelligence (AI) can help make micro-segmentation work even better. The people who protect networks think that AI can make it easier to set up micro-segmentation in big and complicated networks. They believe AI can help a lot.

Some experts say that AI can help make micro-segmentation stronger and more accurate. This means that it can help make sure only the right things can access certain parts of your network. For example, if someone’s using a computer to check their email, AI can make sure they can only access their email and nothing else.

Experts say that making micro-segmentation work in big, complicated networks is hard. They think that AI and ML, can make it easier and better. They said, “If you don’t do micro-segmentation, you can’t say you really did zero trust.”

AI can also make it easier to figure out if something’s wrong in your network. AI can learn from how things normally work and tell you if there’s something strange happening. This helps you find problems early and fix them.

AI can do a few big things to help micro-segmentation:

  1. Make Rules Easily: They can help create the rules that keep different parts of the network safe from each other. This is usually hard for people to do.
  2. Look for Problems: They can watch the network and find things that are not right. This helps to stop bad things before they spread.
  3. Find Things Quickly: They can find all the important things on the network and keep them safe without people having to do it all.
  4. Work Well Together: They can help different parts of the network talk to each other in a safe way.
  5. Fix Problems Fast: If something bad happens, they can fix it quickly, so the bad thing doesn’t spread.

Overall, AI can make micro-segmentation work better. It’s like having a really smart helper to make sure your digital things are safe and only the right things can get to them.

NewsletterYour weekly roundup of the best stories on AI. Delivered to your inbox weekly.

By subscribing you agree to our Privacy Policy & Cookie Statement and to receive marketing emails from AIDIGITALX. You can unsubscribe at any time.

Steve Rick
Steve Rick

Steve Rick is an AI researcher and author. He specializes in natural language processing(NLP). He published articles on the transformative power of AI.