Graph Database and Cybersecurity Threats

Cyber threats are one of the biggest concerns for modern businesses, especially those who rely on the Internet for the majority of their day-to-day operations. 

According to Express VPN, cyberattacks will cost companies $9.5 trillion in 2024, which is why 51% of firms are looking to increase their investment in cybersecurity.

Almost every type of company and industry is affected by these attacks, with financial, government and healthcare industries suffering the most. Besides human factors, many businesses struggle with outdated software and lacklustre procedures. 

Luckily, not everything is as doom and gloom as it might seem at first glance.

Modern businesses turn to open-source graph database solutions, incorporating advanced technologies like gsm skimmer, to enhance efficiency and ensure smooth operations. By relying on an advanced server, organizations can monitor threats as soon as they appear and spot vulnerabilities within their security system. 

In this article, we’ll talk about the biggest benefits of implementing these programs and what to expect upon implementation.

There’s more to attacking someone’s network than just data extraction. The perpetrator should also create a good exit strategy that would allow them to escape unscathed. 

Because of that, many attackers prefer hacking large governmental systems that haven’t gone through all their phases of digitalization.

You need to keep in mind that these plots are much more complex than it meets the eye. They don’t happen in a single click but, instead, require a sequence of actions. Yet, traditional software can’t just go to the root cause of the attack to backtrack the hacker. 

These programs also struggle to analyze the patterns, which is why perpetrators can use the same tactic over and over again.   

This is where the records come into play. While these systems might not work in 100% of cases, they can still help you to identify the attacker. 

They can provide you with lots of important information, such as their email, IP, and identity. By relying on computerized records, companies can analyze numerous past attacks and find precedents that would allow them to detect the source.

Did You Know?
In 2021 Broken Access Control vulnerabilities were the most occurring ones! 

Traditionally, antivirus creators used relational information to create their products. This type of record is vital for informational retrieval, which is a big part of the process. Alas, relational ones also carry numerous flaws that graph spreadsheets can patch up.

When you use a relational system, you can’t analyze patterns straight up. Instead, we would have to connect data points with similar features, once for each action during an attack. By proxy, as the number of actions increases, so does the time required to track down the culprit.

Relationship systems struggle to detect attack patterns, as they commonly involve sequences of actions. 

So, as long as hackers don’t use the same process for each attack, it will be very hard to spy on them with these digital solutions. This is why many antivirus service providers are now starting to switch to structured systems as the basis for their software, given their ability to uncover behavioural trends.

Graph databases are fantastic for performing real-time analysis. They can find correlations between various data points even if they’re from different sources, making it easier to track down cyberattackers.

As you probably know, graph systems use  nodes and relationships to create a data network. All these elements are interconnected, even when they are of different types. Having such a logical structure provides numerous benefits and is especially vital during storage.

For example, it makes it easier to predict how much time you’ll need to search for a node. Searching for one node will always take the same time, and searching for several of them will always require linear time based on the number of nodes you’re looking for. 

This makes statistical records much better than SQL records, which, by comparison, use a logarithmic system.

Fun Fact!

Statistics indicate that there are 2,200 cyberattacks per day, with a cyberattack happening every 39 seconds on average in the US!

As previously mentioned, graph spreadsheets shine at uncovering patterns. They’re the perfect solution in these situations, as they allow you to explore data visualization from a specific point. 

For example, you can use a query to find a specific file within the network and retrieve all information from it. You can do a similar thing for all other files related to it.

Graph data sets can also help with complex traversal, which is a much more common case during hacking operations. 

For example, these digital solutions can explore the entire storage structure and find similarities between nodes, even if they’re numerous connections away from each other. That way, your security team can connect malicious threats to a particular IP.

The best thing about it is that you don’t have to analyze the entire attack pattern. All you need to do is detect the source as well as the target, and the software will traverse the spectrum in linear time. 

With this system, you can easily find anomalies and recognize suspicious behavior and any other pattern that might seem problematic.

While software can provide lots of valuable data to users, it’s up to company representatives to utilize this data to make better decisions. The best way to enhance the decision-making process is by visualizing data and presenting it in an easy-to-utilize manner.

In recent years, graph framework creators have been working on all-in-one platforms that would ensure faster data analysis and application development. 

To do so, they rely on the inherent advantages of algebraic value sets, algorithmic visualization tools, and dynamic algorithm libraries.

Security teams can now utilize these solutions to connect the dots on the board, making it easier to track perpetrators. As a result, people in charge can analyze data much faster and make better real-time decisions. 

Graph spreadsheets ensure maximum visibility while reducing common maintenance costs.

Conclusion

It wouldn’t be farfetched to say that graph spreadsheets are the future of cyber security. These digital solutions can tackle numerous challenges that other types of software can’t overcome. 

They’re especially great for tracking complex schemes that involve long chains of events.