Reduce Risk with Tokenization and Data Security
Tokenization removes sensitive data from your business systems by replacing it with an undecipherable token and storing the original data in a secure location with restricted access. As a result, sensitive data including personal GDPR data, no longer resides in your systems, applications, or networks, so you do not need to worry about protecting it. Tokens do not require protection; only the original data that each token represents needs security. Unlike encryption, tokenization keeps sensitive data out of your systems, whereas encrypted data still resides within applications and networks and continues to require protection.
Tokenization is a very useful technology and widely used to comply with PCI DSS and GDPR requirements. Amongst other uses, tokenization is used for:
- PCI scope reduction
- GDPR compliance
- Risk reduction – sensitive data removed
- Facilitates use of de-identified data in business systems
- Support for multiple data sets
- Protection for data in transit and at rest
- No key management
- Mathematically unrelated to original data
- Multi-use tokens
- Single-use tokens
- Format preserving tokens
- Custom token formats
FAQs
What is the difference between On Premise and Cloud Based Tokenisation?
On Premise Tokenisation provides more control over how tokenization is applied but it provides limited scope reduction. It also presents a higher risk and cost as sensitive data is still resident in your environment. With Cloud-Based tokenization you benefit from a reduction in scope and reduced risk since sensitive data is removed from your environment. It provides Platform-focused security and lowers. The costs that would otherwise be required to maintain the system such as cyber insurance, PCI audits, technical maintenance, etc.
Why do I need tokenization if I use encryption throughout?
Encryption is a very useful method for securing data in transit and in storage. However, the data persists on the systems, applications and networks that use it. Since the data is present, it cannot be ignored or considered to be out of scope. Tokenization removes the data and replaces it with a meaningless token. Systems, networks and applications consume the token and not the data.