How to Secure Your Network With Artificial Intelligence

With the advancement of artificial intelligence (AI) and machine learning, cyber security has only become more difficult. Here are some ways to secure your network with artificial intelligence.

Install Secure Coding

Strong security coding can help minimize the potential damage caused by AI technologies.

Plan for AI in the Enterprise

That’s why AI has become a key strategic initiative for several industries, including banking, food and beverage, and healthcare. That’s where AI can help.

Train your Staff

When it comes to training your staff on the proper use of AI technology, there are several things you need to consider. First, you need to ensure that your employees fully understand the various use cases for AI in your organization. These skills are necessary for employees to use AI effectively and securely. Second, you need to make sure your employees know how to set up and use the right tools. This is important so that employees can properly analyze data and make informed decisions.

Use watermarking and encryption

One of the best ways to secure your data when using AI is to embed it within the applications that your users are using. However, doing so requires a great deal of creativity and effort.

Have Better Data Protection

When employees don’t properly store data, access it, or use it properly, cybercriminals can take advantage of that by acquiring access to sensitive data through a variety of channels. One of the best ways to protect your data is to use strong encryption to protect both the data and the employees who created it. Strong encryption can help prevent unauthorized parties, not just cybercriminals, from accessing your sensitive data. One easy way to strengthen encryption is to use a passphrase technique. When you use a passphrase technique, you create an encryption key that’s unique to that communication.

Have Device Automation

Finally, you need to have device automation that helps to maintain consistency across your organization. This helps to prevent both unintentional and intentional misuse of AI technology. For example, if you have a watermarking technique that remains visible even when a user’s computer is in a different location, organization, or country, you might want to centralize that throughout your network.

Implement strong authentication

One of the most important steps in any security program is the implementation of strong authentication. Authentication is the process of verifying that a person is who they say they are. Strong authentication prevents hackers and other malicious actors from getting their hands on your data by requiring valid login credentials to access sensitive data. There are many ways to strengthen your authentication infrastructure. Another option is to require an encrypted token that is generated and stored securely on the device. Another approach is to use an encryption protocol such as simple password replacement or the industry-standard WEP (permanently encrypted) encryption.

Protect sensitive data using encryption

Encryption is the process of protecting data so that it cannot be read or altered by unauthorized parties. The most common type of encryption used in the cyber security realm is encryption-decryption (also called scramble-and-then-rescue or security through obscurity). With encryption, only the intended recipient can readable or change the data, making it unreadable or changeable by anyone else. To protect sensitive data, you need to choose the right encryption protocol for the job. For example, if you store sensitive data on an unsecured network, you run the risk of that data being exposed to malicious actors who have gained access to your network.Some of the more common ones include:

Train your machine learning algorithms

Machine learning is an algorithm-driven approach to cyber security that uses technologies such as AI, Big Data, and IoT to improve cybersecurity. This is where artificial intelligence comes into the picture. AI algorithms can be used to analyze huge volumes of data and make decisions based on that data. 

Be mindful of the data that you give your machine learning algorithms

One challenge in the field of AI and machine learning is being aware of what data you are giving to your algorithm.

Stop malicious use of AI and machine learning

The sophistication of malicious hackers has increased dramatically in the past few years, as has the sophistication of cyber security teams. Today’s cybercriminals are more developed than ever before, using new and creative ways to target and steal sensitive data.


Artificial intelligence is a powerful technology that can both help and hinder the fight against cyber threats. Most notably, it can help and hinder when it comes to your data security. Here are some ways to secure your network with artificial intelligence.

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