How encryption, tokenisation and masking protect your sensitive data
Nowadays, data protection is a significant consideration for consumers when interacting with a business. A recent study shows 74% of consumers are now more alarmed than ever about their privacy. Besides, 49% don’t give companies credit for doing enough when it comes to data privacy and protection. Such concerns leave businesses no choice but to enhance their security with the most advanced tools and measures.
This article will help everyone concerned to learn more about the most popular data protection methods in use: encryption, tokenisation, and masking.
What is encryption?
If someone steals encrypted data, they won’t be able to read it unless they obtain a decryption key. Only this secret key can turn encrypted data into plaintext. The biggest flaw of encryption lies in this reversibility. Fraudsters can turn encrypted data back to its original form. That’s why the strength of the encryption totally depends on the algorithm used to secure sensitive data. The more refined and advanced it is, the less solvable or breakable is the encryption. Still, as technologies develop and move forward, encryption moves towards becoming an obsolete data protection method. With powerful supercomputers, third parties may solve the encryption and access the valuable data in its original format.
How does tokenisation work?
Unlike encryption, a token is unsolvable and unreversible. It is just a placeholder with no inherent value. Sensitive information is stored separately in a different location, and you can access it only by using your tokenisation solution to exchange the token for the original data. It allows you to secure the information and avoid storing sensitive data within your internal systems. At the same time, you have to be sure that the external data vault you use is undoubtedly secure and protected.
We’ve previously examined the types, advantages, and drawbacks of tokenisation, so take a look at this article if you want to know more.
How does masking help to protect data?
The latter case allows for saving the analytical value of the original data without exposing and risking it. For instance, a real name can be replaced with a random one. Masking can be permanent and unretrievable (SDM, static data masking) and reversible (DDM, dynamic data masking), meaning that the authorised user can access original data. In contrast, unauthorised users will see it masked.
Masking is particularly useful for testing or quality assurance requirements, as it prevents sensitive data disclosure while preserving its analytical value. It also helps to display data safely, e.g. showing only the last four digits of a credit card number. However, it cannot be used as a single or primary data protection method because of the high risk of a database breach.
Protecting data at Corefy
As a payment orchestration platform, we take security extremely seriously. We ensure safe data storage, perform rigorous security checks, screenings, and independent assessments, and comply with all industry regulations. We have a PCI DSS Level 1 Compliance certificate, the industry’s highest level of certification, and ISO/IEC 27001:2013 for Applications, Systems, People, Technology, and Processes. Corefy also complies with PSD2, GDPR, and ISO 9001 requirements. We understand that you entrust your data to us, and we do everything possible to keep it secure and continuously look for opportunities to improve.
We’re always ready to answer your questions.