5 Ways How Big Data Helps to Fight Cybersecurity Threat

Christopher Roberts
5 min readNov 4, 2019

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In the online world where information has become a currency, modern businesses and organizations are required to go through huge chunks of data to acquire useful insights. Since these businesses depend on usable information, the data mining and refining process exposes them to a wide range of risks. Fortunately, big data for cybersecurity can easily eliminate any risk or threat and significantly enhance your security. New and advanced big data tools can efficiently handle and analyze all data necessary to boost cybersecurity and identify any threats that might endanger your valuable business information.

It’s because of this that more and more industries are implementing big data for cybersecurity — it helps them not only to identify threats and security breaches but also to collect and store huge amounts of data for processing.
Governments, financial institutions, numerous organizations dealing with data and information are all becoming aggressively interested in collaborating with content-aware firewalls and security intelligence systems.

With all this in mind, let’s see how exactly big data helps eliminate cybersecurity threats.

1. Quick Prevention of Malware Attacks

Cybersecurity attacks and threats are quite common today. When they occur, businesses need a quick solution that will not only identify the attack but trigger all necessary actions to prevent it from harming your system.

Detecting the threat isn’t enough, as this doesn’t prevent some malware from damaging your system. That’s why organizations use big data for cybersecurity analytics to not only identify any potential threat but to eliminate it and automatically disconnect all possible sources that cause the threat.

These analytics also provide all necessary reports that allow business employees and cybersecurity experts to find out what caused the anomaly.

This saves time and resources for both businesses and cybersecurity organizations.

2. Big Data Log Analytics

Big data log analytics keep your data safe by providing constant data monitoring to prevent any possible cyber threats from occurring.
The best way to ensure maximum protection is by combining Just in Time analysis technique with Big Data log analytics. This is a direct way to both prevent an attack and predict attacks that will happen in the future.

Since almost every business now operates online, the number of online companies experiencing security breaches is alarmingly high. Therefore, the need for any protection against these breaches is equally high.

Experienced cybersecurity companies like The Data Entry Outsourced performs real-time threat detection and elimination, as well as protection to make sure your data and security are always protected.

3. Assess Potential Cybersecurity Risks

You can significantly improve your cybersecurity by regularly assessing networks for any possible threats. It helps to discover system vulnerabilities, identify any potential threats, and eliminate them before they escalate and do any actual damage.

Assessing any potential cybersecurity risks is also a great way to identify databases that might be critical due to storing huge loads of information that hackers are after.

Any information regarding financial reports, customer identity, and so on is more than appealing to hackers and is far more suitable for hack attacks.

In such cases, the lack of proper cybersecurity measures might endanger your entire business and customer base. Big data analytics could remove such potential risks.

While the internet offers countless business opportunities, it’s also quite a risky environment, especially since more and more information, power, and money get connected to the online world.

Internet-based data systems worth a lot to hackers, so you must be prepared to protect those systems when the worst happens. In the online world, protecting your customers and preserving commercial security should be your top priorities. Big data for cybersecurity is the best solution to cybercrime.

4. Big Data Provides the Most Advanced Cybersecurity Technologies

Since cybersecurity is one of the main big data problems, modern problems demand modern solutions. That’s where the most advanced cybersecurity technologies kick in. These tools were designed to handle the complexity and size of the ever-increasing security-related data. Some of the best big data tools for cybersecurity are:

●Apache Spark — a secure and fast open-source cluster computing engine capable of processing large amounts of data that helps detect all internal servers trying to establish a connection with internationally based servers. It identifies any irregularities in user behavior patterns and discovers anomalies.
●Fortscale — one of the most effective solutions against APT attacks. These attacks are pretty common for large organizations and Fortscale helps detect such attacks, address big data risks and challenges, and check network traffic for any invasions.
●IMB Security QRadar — the best way to stay on top of the latest and most advanced threats and include proactive attack prevention is by using this tool. It helps you prioritize threats and exclude them from huge pools of data, which makes it one of the most effective Big data solutions.

5. Monitoring Workflow to Prevent Employee Breaches

Believe it or not, employees are still the number one cybersecurity threat to any organization as they are prone to social attacks. Phishing and financial pretexting are the most common social incidents, and most investigations prove that the main cause of these incidents is an employee or the inside man.

While insiders can harm an organization by misusing their user credentials, most incidents happen by mistake — employees bring compromised devices to work, visit websites with malware or fall for phishing attempts.

With all this in mind, there are a couple of things enterprises can do to reduce these insider cybersecurity attacks to a minimum:

●Implement a Policy of Least Privilege to limit employees’ access only to specific resources.
●Set the ground rules based on a BYOD policy that clearly states how and if employees can use personal devices at work.
●Provide a highly useful and necessary cybersecurity risk training that will teach employees how to take the necessary measures of precaution and act in case of a cyberattack.

Ransomware

Ransomware is one of the highest-ranking and most common cybersecurity threats. It’s usually a part of malicious software that inserts an encryption malware onto the business network through various phishing attacks.

Once the malware is functional, it gets hold of the system’s network and generates a message, saying it demands ransom to give back the control.

Still, it’s possible to fight this risk by:

●Teaching employees about the possible risks of ransomware
●Using anti-malware protection and antivirus programs
●Remotely back up all valuable data in a cloud-based environment

Conclusion

Thanks to AI, machine learning, and big data analytics technologies, your business processes, data, employees, and operations can remain safe and secure in case any cybersecurity breach or hacking attack happens.

It’s important to constantly improve your cyber threat-detection mechanisms and data management techniques, to stay on top of all the changes in the world of cybersecurity.

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