How to Improve Your Big Data Security Processes

Big data has become a household term in recent years, often referring to large volumes of structured and unstructured data that is difficult to manage and can easily become a daily challenge for organizations that are unfamiliar with it.

In fact, big data is so important that 97.2% of organizations say they are now investing in artificial intelligence (AI) and big data. Yet despite this, around 95% of companies say their inability to understand and manage unstructured data is holding them back.

When stored, used, and managed properly, big data is an important tool that enables businesses to gain critical insights into people, processes, and business performance.

Yet, when mismanaged, big data can be both a Data protection and data compliance worry.

So how can your organization improve its big data processes so you can mitigate your data protection and compliance risks? In this blog, we discuss the top five ways your business can improve its data security process.

1 – Gain visibility into where your data is, how it is used, and who has access to it

To mitigate the data protection and compliance risks associated with big data, data visibility is crucial. To achieve this, companies must put in place an effective strategy data discovery platform that scans their entire environment to find and identify where structured and unstructured data resides.

A data discovery platform allows companies to have visibility into where their data is, how it is stored, how it is used, and which employees in the organization have access to it. By gaining visibility into their data, businesses can ensure that they are appropriately protecting vulnerable data and complying with data privacy regulations that apply to their business.

To go further, data discovery must be combined with data classification. By classifying data, organizations are able to transparently tag data based on what it contains and how it should be handled. These tags make it easier for companies to locate and retrieve data and ensure that all types of data comply with appropriate data privacy regulations.

2 – Provide training on data security and best practices to employees

Unfortunately, the vast majority of data breaches are due to human error. In fact, according to CISCO 2021 Cybersecurity Threat Trend Report, at least one person clicked on a phishing link in about 86% of businesses. The company has estimated that phishing accounts for around 90% of all data breaches.

To mitigate these vulnerabilities and minimize the risk of successful cyberattacks against employees, it is essential that you implement training and good practice policies in your company’s big data security processes. Train your team on what phishing attempts are and what they look like, as well as best practices that can help them avoid falling prey to cybercriminals.

3 – Encrypt personally identifiable information

Personally identifiable information (PII) should be encrypted in transit and at rest to better protect your organization’s sensitive data from unauthorized access. Encryption can help your business secure massive volume of data of different data types, and data can be encrypted via machine or via user-generated code,

4 – Limit who has access to sensitive data

Employees should only have access to sensitive data if it is critical to their job. Indeed, the more people there are with access to the data, the more this data is vulnerable to external threats. This is where data visibility is key.

A data discovery platform can help your business see where your data is and which employees have access to it. You can then use this information to limit data access permissions to employees who actually need to access this data as part of their job.

5 – Set up an intrusion detection and prevention system

Since there is a large amount of sensitive information, Big Data is particularly targeted for intrusion attempts. To better protect this data, organizations should ensure that they have an intrusion detection and prevention system in place.

An intrusion detection system is software that monitors a company’s network or system for malicious activity or policy violations. If an intrusion or violation is detected, an intrusion detection system can automatically report it to an administrator. If an intrusion is detected and successful, the system can usually stop the intrusion before it causes significant damage.

It is also a service provided by Managed Security Service Providers (MSSPs) through their broader Security Operations Center (SOC) services. Would you like to learn more about how your company can improve its big data security processes?

Check out a demo of the Cavelo attack surface management platform today. We simplify your data protection policies with transparent asset detection, classification and risk management.

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*** This is a syndicated Security Bloggers Network blog from the Cavelo blog and a press release written by Phil Guerin. Read the original post at: https://www.cavelo.com/blog/how-to-improve-your-big-data-security-processes

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