How to Prevent Cyber Security Attacks with Big Data Analytics - Clavax

How to Prevent Cyber Security Attacks with Big Data Analytics

The evolving growth of the enterprise world is putting organizations at risk of cyber-attacks that has increased tremendously over the years. Research says the rapid digitization will increase the cost of data breaches to $21 trillion by the end of 2019. Today, hackers & cybercriminals are constantly creating bigger threats leading towards the lack of data security, which in turn causes great financial losses and bad reputation of the company.

As we all are aware of how important the business data is for any organization, it has become an utmost need to understand how to protect the information. Analytics is the key element that has the power to leverage cyber resilience. With the help of effective Big Data Analytics Solutions, companies can deal with growing cyber threats associated with the increased amount of data generated every day.

Let’s find out how Big Data is turning the table to safeguard businesses and organizations from cyber-attacks or breaches.

Deep Information Analysis

Big data analytics enable businesses to perform in-depth analysis of the information collected daily, which gives hints of a potential threat to the integrity of the enterprise data. Whenever there is a deviation from the norm, new models & possibilities can be created using AI and machine learning.

Employee System Monitoring

Any organization can prevent the compromise of the data integrity of their systems by employees using a reliable employee activity monitoring system. It can be done by providing limited access to sensitive information where staffs can only use their authorized login details to modify or view the data to prevent any data hack or possible threats.

Intrusion Detection System (IDS)

Though firewalls, data encryption & multi-factor authentication are common security measures, using an IDS helps in keeping track of all the company’s traffic that may contain malicious data or intent. Big Data analytics is used in providing all the information desired to monitor the network & make an informed decision accordingly.

Find Out Relevant Incidents

With proper analysis of any kind of suspicious activity, big data can reduce the chance of security attacks that may cost a fortune for a company. Forensic experts can work on the historical information collected to get more details about any malicious incident & its relationship to other anomalies.

Automate Workflows

Another use of big data is the ability to provide multiple automated workflows that respond to detected threats by deleting malware-associated data or submitting the defect to the higher authority for further analysis. One of the key business drivers adopted by successful businesses is automated controls for fraud detection & cybersecurity.

Closing Statement

After going through the points stated above, we can say that machine learning and big data plays a main role in adding value to the organizations by helping them combat cyber threats. Though it is possible to build defenses, it is always advisable to identify real-time risks & prevent unknown attacks to occur. Conducting timely security audit can help your business to identify vulnerabilities and increase security awareness. If you want to protect your enterprise data from the increasing number of cyber-attacks, it is important to stay updated with the advances in big data analytics. Conduct Cyber Security Audit and stay risk-free.

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