Today, more and more companies are dealing with a large amount of data. The latter requires the creation of ever-new and adaptive tools that can cope with an increased amount of information. But they are needed not only for structuring and processing but also to ensure complete security. With the last point, everything is more complicated than it seems at first glance. Cybercriminals are constantly trying to create workarounds for attacks, and they are quite successful at this. After all, if they manage to penetrate at least one part of the big data, they can access the entire stream. More than ever, companies need to think not only about cybersecurity but also about the ability to recover information after a breach quickly.
How to appropriately interact with big data, and what opportunities and threats they bring - let's figure it out.
Threats
Where there is big data, there are more attacks. With improper structuring and tracking, there is every chance of being left without important information. The most significant threats to big data are:
- A Аleakage of part of the information or the entire flow;
- obtaining by malefactors of the property right to data;
- deleting part of the information or the entire stream.
Cybercriminals are capable of all this, so you need to learn how to fight back, and this is where the power of big data lies. But you can't fight back the threats if you don't know that they even exist. For this, you need to perform vulnerability scanning on your website, systems, and applications. This will help you automatically check your digital assets for exploitable weaknesses before attackers can find and use them.
Companies need to be ready to prevent a possible attack, repel attacks at the moment of attack, and find loopholes for data recovery. This approach is essential even for a dropshipping business, where customer data, supplier records, and order information flow constantly and must be protected. But it is very difficult to provide only manual calculations for a large flow of information. So, even if the analyst checks each piece of information every second without stopping, what is the chance that in the next minute, there will not be an attack on what he just checked? And familiar automated systems often falsely work, which reduces efficiency and often leads to even greater system vulnerability. That’s why it's important to strengthen every layer of digital defense—including email protection—by using tools like an SPF generator, which helps prevent email spoofing and reduces the risk of phishing-based intrusions.
Capabilities
Big data is the ability to collect information from different sources on a huge scale, which is an advantage. It is this property that can provide cybersecurity. For example, when information is collected on a huge scale and analysis of all actions, including processing, it turns out to implement automated scenarios of possible interactions with data. This gives a real picture of possible loopholes for attacks, which makes it possible to counter them in the future.
The main task today is the creation of new technologies that will be easily integrated with existing systems. Then it will be possible to deter attacks at any stage of their actions. Thanks to them, analysts will be able to analyze the entire flow in time, and cybersecurity specialists will ensure complete data protection. Consider mentioning how virtual office software can integrate with big data tools to enhance real-time cybersecurity monitoring.
The cost of neglecting cybersecurity
Companies often neglect cybersecurity, hoping that in-house programs can handle any attack. Yes, today all technologies created to repel intruder attacks are focused on working with big data. But no one can guarantee that they will work successfully on their own and with a particular data stream.
Such negligence often leads to serious consequences in the form of data leakage. And this is very expensive, as there is a risk of losing customers, partners, budget, and the company as a whole. Due to cybersecurity laxity, studies have shown that it took an average of 50 days for businesses to resolve an insider attack and 23 days to recover from a ransomware attack.
But it is even more difficult to recover the data later if it has been stolen. Cybercriminals almost always act for selfish purposes and can demand big money for big data. In addition, a single attack can put a company out of business, either for a few days or forever. How much money will be lost in this case? Following the huge financial costs of data recovery and downtime, there can be fines, loss of customers, and the invaluable reputation of the company's reputation.
What to do?
Every company that plans to work with or is already working with big data needs experts in analytics and cybersecurity. In addition, you should ensure:
- readiness for various types of attacks;
- timely data analysis;
- Integration of proven technologies and AI solutions for cybersecurity;
- Improve your employees' cybersecurity knowledge with some learning platforms. They contain a huge amount of materials that allow you to master a variety of disciplines.
- installing only secure open-source software;
- Information encryption;
- audit control.
Today, it is very important to optimize big data cybersecurity. This is perhaps one of the most important tasks for any company. Big data, although it helps in maintaining security, will not be able to cope with attacks on its own. The coordination of actions of specialists, technologies, and available systems is required. Only when they complement each other will it be possible to repulse the criminals.
Conclusion
Big data provides great opportunities for business, so gradually everyone is moving to work with it. But where there is a lot of data, there is more motivation for cybercriminals. It is important to be able to use all the advantages of technology, acquire a team of specialists, and be ready to repel an attack at different levels.