Good morning dear readers of Tecnogalaxy, today we will talk about dark data and what they are.

The term “dark data” refers to “any information resource that organizations collect, process, and store during normal business activities but generally fail to use for other purposes”.

Often retained for compliance reasons, this data can also include previous employee logs, financial information and transaction logs, confidential survey data, emails, internal presentations, attachment downloads, and even surveillance footage. It refers to any forgotten data left behind by general processes that could be unused, unknown and unused, invariably as a result of a user’s daily digital interactions. This data can be anywhere.

By its nature, the accurate volumes of an organization’s dark data are difficult to estimate. Since organizations produce data in a volume that is regularly higher than can be analyzed, it is common that more than half of the data is not available for analysis]. The volume of unstructured data, that is data not organized by any predefined data model, is increasing at a rate of 55-65% per year. Every minute of every day 1.7 MB of data is created for each of the 7.3 billion people on our planet. This means that by 2025 it is estimated that there will be 175 trillion gigabytes (175 zettabytes) of data globally, 80% of which will be unstructured and 90% of that unacataloged data.

Dark data

To protect dark data from attackers and make it available to reviewers must find it and find out what is sensitive and what is not. The discovery and classification of dark data allows an organization to exploit this previously unknown information for decision-making.

There are two main approaches to the evaluation and review of dark data. There are independent consulting specialists who can examine a data environment and conduct in-depth revisions of unused and unlisted data on behalf of an organization. Even organizations can, with the right tools, automatically review all their data stores, wherever they are. This is often preferable as it also allows organizations to identify regulatory breaches, identify internal permissions and uncover other gaps in organizational data security and identify potentially malicious or negligent behavior that could endanger confidential and private data.

It is only when an organization has visibility into its dark data that it can discover its business value and protect that data accordingly. Building a basic framework to catalog this data is the first step to getting that understanding.

You need to know if the data are already visible and in use: it is data management, It is essential to know where the data are, what they are and what standards and policies should be applied to them. Knowing who accesses it and how organizational data is used since they are all part of the basic framework for classification and discovery. After proper investigation, you can schedule the deletion of obsolete dark data, which reduces the required data storage capacity and associated costs.

TOOLS FOR DISCOVERY AND CLASSIFICATION OF OBSCURE DATA

Out of the box, Imperva Data Security Fabric Data Discover and Classify allows you to automatically search through your data, wherever it is stored, to find and classify unstructured dark data. On a business scale, it allows organizations to find hidden, public and sensitive material. It shows the location, volume, context and allows you to protect your data accordingly with clearly defined action recommendations.

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