Data Classification & Its Importance: A Codeforce 360 Study

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Ever thought about the amount of data being pooled at your workspace, drives, clouds and more? As of today, almost every company that performs tasks, sends emails to employees, and circulates business-critical marketing info in the form of mailers and online flyers banks on gigabytes or even terabytes of data which are deemed invaluable.

Just like a digital footprint, your data footprint could leave a trail in cyberspace courtesy multiple campaigns and service marketing initiatives that you’re probably tasked with. Information and key data points that are to be leveraged to your company’s benefit “also” have to be shared with the employees because of the obvious… but what are the possible ramifications of disclosing service or scheme-specific data that gives your customers a sniff about your company’s MO or more?

What would happen if customers or potential customers discover sensitive information about yourself or your company with the data that you share?

The perpetual increase of cloud storage devices etc. just makes this threat far more real than it actually seems since almost anybody savvy enough can have access to large storage databanks at just a few clicks.

EFFECTIVE DATA CLASSIFICATION

Analysis and studies have revealed that the risk of losing sensitive data can be mitigated by employing methods to classify data based on the kind of info being presented in business-critical communication. This information leaving a footprint can be tagged with attributes which can help employees and companies determine the nature of the associated threat.

In order to come up with suitable data classification solutions, CodeForce 360 presents a comprehensive list of steps to be taken:

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  1. 1. Locating and identifying huge sets of data being stored in data drives and cloud storage platforms such as presentations, documents, photographs etc.
  2. 2. Frequent combing ops or scans that will automatically classify data based on type, size etc.
  3. 3. Shielding data by encrypting when and where required.
  4. 4. Pooling information about specific files before and after scans in order to classify them based on their location on disk/drive and the groups having access to them.
  5. 5. Engaging in frequent reviews of security policies, data storage policies, and classification procedures in order to keep data away from the looming threat.
  6. 6. Marking data which is being stored and shared improperly followed by a review where the data can be classified based on the type, size, and access given to employees.

CLOSING NOTE

Companies are judged based on their ability to avoid the loss of business-critical data along with the measures being implemented to avoid absolutely “zero” leaks. Moreover, aspects such as identification, tagging, classification, and protection are quintessential for a company to relish smooth proceedings.

According to CodeForce 360, these steps, when taken diligently will eventually define any company’s hits as well as near misses in months and years to come.

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