Want to securely transit data from on-premises to Google Cloud Platform?
The private keys of the code-signing certificate can be stored in an HSM to eliminate the risks associated with stolen, corrupted, or misused keys.
Cloud Data Protector
New
A secure transition of structured/unstructured data from on-premises to Google Cloud Platform
while the data is protected via Format Preserving Encryption (FPE) or has been masked. Cloud Data Protector hides all sensitive information to maintain compliance while the migration takes place.
Features
Cloud Data Protector is an extension of Google Cloud Platform’s DLP API with more enhanced features in a much easier to use form.
Securely migrate your data from on-premises to the cloud.
Developed on Python and can be run on any platform.
Help customer achieve compliance with PCI-DSS, HIPAA/HITECH, GPDR, CCPA, NYDFS and other regulations.
Features
|
Open Source Download Software | Enterprise Features Request a demo |
|---|---|---|
| Redaction | ||
| Replacement | ||
| Masking | ||
| Format Preserving Encryption | ||
| Software-based Key generation | ||
| Key Management in Google Cloud Platform | ||
| Logging | ||
| Enhanced Key Protection using nCipher, Thales , Utimaco and Futurex HSM | ||
| 24×7 Customer Support | ||
| FIPS 140-2 Level 3 Compliant | ||
| Download Software | Request a demo |
How does it work?
Cloud Data Protector works with the help of the Google Cloud Platform. The user will create a JSON file that would contain a path to the CSV file, which needs to be protected.
It will also include the name of a key inside GCP’s KMS that we will use for wrapping the user-generated key. Then you will pass the JSON as a parameter to the cloud data platform.
Can we extend the Cloud Data Platform?
Cloud Data Platform is open-source. Thus you can add your extensions. Moreover, it can be tied with scripts and automated to be a part of a much bigger migration. You can extend it further to attach with your tools and workflow by running a terminal command.