How Network Monitoring Helps in AI-Based Network Security

The use of AI is no longer a new thing in all fields and in fact its use can also be applied to help the network monitoring process more quickly and accurately. This AI capability helps us save energy and power to understand problems and find solutions to what is disturbing. 

It is true that in the future nothing is impossible and everything can be done faster. This is supported by AI’s ability to anticipate network problems and can also provide more proactive action in it. As for a complete explanation of network monitoring with AI, check everything below!

Relationship between Network Monitoring and AI 

Network monitoring and AI actually both have advantages which will be adjusted to the needs of more appropriate network repair and monitoring. AI has the benefit of anticipating things or problems that have previously occurred so that it can provide more proactive solutions and also more appropriate prevention. 

Likewise, network monitoring allows users to get more accurate reports on what problems occur including providing solutions to actions that should be taken. The analysis used is predictive, which means that it can provide insight into what is appropriate for current conditions according to experience. 

Predictive analysis itself is a crucial ability possessed by AI to provide assistance to network technicians according to changes in network performance and other behaviors that exist in the future. They will usually ask several questions and also provide types of data that can be analyzed for a more suitable network. 

With the help of AI they can be faster and more proactive in overcoming some problems that may occur. As for the next work step process, you can check the full explanation below!

1. Data Analysis 

The first step is to analyze data related to the historical network including traffic patterns, error rates and bandwidth usage in it. Later with this help, technicians can more easily provide access to data sets related to the coverage of a more significant time span. 

2. Scenario Process Creation

Furthermore, in this case technicians can directly use AI assistance to be able to create scenarios according to the historical data provided. They will also ask questions such as “What will happen if network traffic continues to increase?” or other questions that are needed according to current conditions. 

3. Data Anomalies and Trends 

AI helps identify anomalies and trends directly in historical data. In this case, AI will help the system with periods of unusually high traffic including congestion issues and patterns that can lead to potential unwanted vulnerabilities. 

4. Perform Capacity Planning 

The fourth step is that technicians can ask for AI assistance to do the necessary capacity side planning. For example, they can ask for requirements regarding the bandwidth needed to accommodate future growth or a more ideal time for network infrastructure upgrades. 

5. Proactive Problem Process Detection 

AI helps the process of predicting potential network problems that are more critical. In this case, they can directly provide access to more real network data that helps the process of monitoring appropriate metrics and exceeding their limits. 

6. Creating What If Scenarios….

The good thing about AI is that it will assist and explore more in-depth “What if…” scenarios to implement QoS and prioritization related to VoIP traffic during peak hours. This assistance will make the simulation of the impact on network performance more efficient. 

7. Performance Optimization Strategy 

Furthermore, in this case the technician can directly look for strategies or answers that can be used for the performance optimization process according to a more predictive analysis. There are several questions that can be asked and used as a reference to be able to help manage traffic and balance heavy loads in it. 

8. Making Security Threat Predictions 

AI helps predict potential security threats and also analyze network traffic anomalies. In this case, technicians can also provide network traffic logs and help AI to detect patterns that are deemed inappropriate or indicated to result in a data breach or cyber attack. 

9. Assisting Resource Allocation 

In this case, technicians can help the resource allocation process by asking several questions related to efficiency including more appropriate policy suggestions. That way you can create configurations and also prioritize applications that are more dynamic and according to their importance. 

10. Assist with Notification and Monitoring Strategies 

Technicians can work more appropriately by directly designing more proactive notification and monitoring. They can directly search for information about the best thresholds and parameters related to automatic notification assignments so that network conditions can be better met. 

11. Forecast and Trend Analysis Process 

Next is to process analysis and forecasts according to the historical data used. You can directly ask directly related to network traffic and also anticipate for the next few months. So that it can be easier to monitor network performance. 

12. Adaptation Process to Changing Conditions

AI can guide the entire process that can adapt network configurations and policies according to the development of current conditions. Technicians can later provide regular updates as well as network data to suggest more appropriate responses according to their behavior. 

Technicians can optimize resource allocation by asking several questions related to policy suggestions that are more in line with dynamic application priorities.

How to Wisely Use Network Monitoring with AI 

It is true that AI helps everything we need in some ways so that we get a more relevant reference. But do we have to follow everything that is used and recommended by this AI? AI is good for predicting the future but not all the suggestions and answers given can be used. 

You don’t have to accept all the advice given but filter it and determine it according to your needs. The analytical capabilities of the human perspective must be considered and formulated properly so that we can provide a more relevant data network. This includes the context of the network as well as the organization it belongs to. Utilizing AI is very helpful but we should not be hands off considering that there are no definite metrics that help monitor it. For that you can use Netmonk’s help in addition to utilizing AI technology in the process. The data and metrics used are more accurate, suitable for all types of businesses that require network monitoring.