Data Protection

Data Protection is a key discipline for any organization handling sensitive data independent of its origin or usage for the entire data life cycle from collection to deletion. Data Protection means the sensitive data is protected against unwanted disclosure or leakage and fulfills all of the data governance requirements. Data subjects are based on data sets that have a higher risk for any damage to any individual or organization.

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Protection

Data protection can be achieved either through anonymization, pseudonymization, encryption, or any other way that makes the data subject unidentifiable when a data breach should occur. Today’s applications and logical implementations allow us to analyze a huge volume of data to create a different context with marketing campaigns for future needs.

Why should you consider Data Protection?

Most of the data privacy laws and data protection regulations around the globe demand transparency of data processing with sensitive data. This is not only relevant for personal identification data, financial data, health data but also for company secrets and intellectual properties. Additionally in case of data breaches or unusual behavior organizations need the information for analytics and forensic proof.

Create transparency of handling sensitive data in your organization with monitoring

When data monitoring user activities, the aim is to record actions taken when handling sensitive data. With user activity monitoring, the activities of employees when accessing sensitive data are logged in such a way that the traceability of data exposure and transaction of sensitive data-sets is ensured.

How to strengthen your data protection security

Anonymization

During Data Anonymization the data context is modified according to the data subjects’ information. As a result, the anonymized data cannot be associated with the initial value. All anonymized data usually are recognizable as anonymized data and clearly marked as such.

Pseudonymization

Data Pseudonymization is a similar process as anonymization, however, during pseudonymization, the data subjects are transformed in a way for a user so that the information can be used to continue processes without harming any governance or legal restrictions.

Encryption

Protecting data with encryption is a different method to protect data subjects from any abuse. During encryption, predefined keys are used to transform data subjects into non-useful information. Once the data subjects are decrypted, the values are useful again to the consumer.

Which technique to use and when?

While securing data subjects, one has to define whether the protected data subjects should be stored as a protected item or the information used should be transformed while retrieving this information. Global storage environments such as cloud services and general data protection regulations have increased the need to protect data and hold its keys.

Protecting data with Secure-at-rest

Secure at rest is designed to prevent the attacker from accessing unencrypted data by ensuring the data is encrypted when at rest. Depending on the business processes and needs this data will be decrypted at its point of use or will be transformed through a combination of decryption, anonymization, or pseudonymization depending on the role and need.

Protecting data with Secure-in-motion

Secure in motion is designed to leave all data and information unencrypted at its original source and transform the data to a protected format while retrieving it by a user or by the data security protection process. If requested, the data can be secured using format-preserving encryption. During access to the data, this method directly secures all defined information while the origin is not transformed in any way and rests integer.

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High risks for an export feature in applications

Many business applications are independent if an individually developed software offers an export function to users. The user can select a set of data to be exported. Unfortunately, once the data has been exported from the application as structured data into a file, it is no longer in the control of the application.

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How to Protect your Files

An employee produces a huge amount of files whether they are official documents, database exports, spreadsheets, presentations. While the data in the file might or might not be encrypted, the file itself rests unsecured and can leave a company boundary without further notice. To prevent loss of information and data, files can be inventoried, labeled, and tagged to fulfill regulatory and governance policies.

Are you using Microsoft and
Microsoft Office-365 as a cloud service?

Being a leading cybersecurity company, Defendeer integrates its solutions with existing
file encryption services like Microsoft RMS or Azure Information protection or similar.

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