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Businesses use modern cloud technology, like AI or IoT to stay ahead in the current market. Their infrastructures need to be regularly monitored for any kinds of errors, security and data breaches.
That is why adding techniques like intelligent monitoring can track these types of environments so the data belonging to companies can stay protected. Below we will see what kinds of tools intelligent monitoring uses along with added security measures. This will give us a better insight into why this has become a favored security trend in 2024.
Improving the Network Protection
Building an effective network security strategy with intelligent monitoring starts with fully understanding how the network is structured. This means mapping out how data flows, identifying which parts of a system are the most sensitive, and knowing where potential risks could arise.
If a company has a network where the employees are connected to directly, no matter if they’re handling the security themselves or if they are data analysts, when they work remotely, it’s best to add further security measures.
Establishing virtual private networks has also become a very common back-up strategy. While intelligent monitoring actively detects unusual activities or potential threats on its own, as revealed by Private Internet Access, a VPN ensures that any data being transmitted is protected from external threats when operating.
This can be useful in particular for large e-commerce companies that are operating their online platform with numerous servers. They would receive real time data and notifications about data breaches or unauthorized access attempts, no matter where the security team operates from.
Components of Intelligent Monitoring
To use intelligent monitoring effectively, it’s important to understand how its main parts work together. One key part is collecting data from different sources, such as servers, applications, and network devices.
Using AI as a Detection Tool
Without the right information, it’s impossible to identify potential issues or understand what’s happening within the network. AI is a tool that can be used for recognizing patterns within large amounts of data, especially with big companies like Apple, Microsoft or Tesla.
In the context of intelligent monitoring, AI can flag any activities such as subtle threats that may not trigger predefined rules, unusual login times or irregular data transfers.
Using ML for Further Analysis
Besides AI, machine learning (ML) is used as a detection tool as well. It works by learning from past data to improve how threats are identified and handled over time. This ability to adapt is what makes ML so valuable in detecting security risks.
In industries like finance, ML is essential for detecting fraud. Banks and payment platforms use it to monitor transactions, flagging any unusual activity, such as rapid withdrawals.
In retail, it helps monitor e-commerce platforms like Amazon, Temu or AliExpress by analyzing user behavior to detect activities like account takeovers or bot attacks on inventory systems.
Further Benefits of Employing Intelligence Monitoring
Intelligent monitoring systems do more than just make sure that the security remains on par.
- These tools are also great at adjusting network settings to match real-time traffic conditions.
- This helps avoid slowdowns and keeps everything running smoothly. During big sale days like Black Friday, these systems can spot the surge in online shopping traffic and adjust accordingly.
- They prioritize data like transactions for popular products on sites that can have big sales during the holiday season as well. Brands such as Sephora or Nike for instance, use it to ensure that these operations go through without a hitch, even in the busiest times.
- A downtime can happen though, which can be incredibly expensive for businesses, not just in terms of lost productivity but also due to the cost of repairing systems and restoring data.
Here intelligent monitoring helps to minimize downtime by identifying and addressing issues before they cause total system failures. This maintenance can save large amounts of money by avoiding unplanned outages and reducing the frequency of costly repairs.
Conclusion: Future Advancements in Intelligent Monitoring
The capabilities of intelligent monitoring systems in ensuring security across various sectors are expected to grow with time and further tech advancements.
Advancements in artificial intelligence will likely lead to more refined predictive analytics in intelligent monitoring systems.
As more and more devices connect to the Internet of Things (IoT), it’s becoming important to have strong security to keep these devices safe. As IoT grows, the systems watching over it will get better at spotting and handling security issues specific to these technologies, keeping everything running smoothly.
Intelligent monitoring systems could become the connection needed between different sectors on a global level. By sharing information about threats quickly and widely, these systems could help different countries and organizations work together more effectively to stop cyber attacks.
ABOUT THE AUTHOR
IPwithease is aimed at sharing knowledge across varied domains like Network, Security, Virtualization, Software, Wireless, etc.
