DataMasque is now available on the AWS Marketplace.
Proudly an AWS partner, DataMasque continues to innovate and integrate with AWS services to support your organisation in safeguarding data privacy and fulfilling compliance requirements.
With DataMasque’s total focus on data security, you have the right toolset to meet your compliance requirements through best practice data masking, all seamlessly integrated into your DevOps workflow – in the cloud or on-prem.
Many data masking tools fail to effectively safeguard sensitive information from malicious actors, while also
rendering data unusable for consumers. We recognise that simplistic masking techniques like data shuffling are
inadequate protection, and that indiscriminate replacement of values can break data integrity, inhibiting
development and testing activities.
DataMasque offers ease of use without compromising security or data integrity. Our aim is to make the simple
things easy, and the complex things possible.
DataMasque supports encryption in transit – all data transmissions are encrypted between DataMasque and your data sources.
The easiest masking is the safest masking. The DataMasque toolkit drives you towards the most secure approach.
Sophisticated safety measures that can preserve data consistency and implicit relationships.
DataMasque provides simple yet powerful tools to generate realistic, diverse and functional datasets representative of your production data.
DataMasque provides all the functionality necessary to ensure data values can be consistently masked across tables and databases, even those running on different database engines (i.e. the same value is replaced with the same masked value wherever it exists).
Composable building blocks provide straightforward mechanisms that can be used in combination to satisfy complex masking requirements.
With a YAML-based syntax comparable with tools like Ansible and Kubernetes, DataMasque makes crafting masking rulesets simple. The immediate roadmap includes a drag-and-drop interface for even more user-friendly construction of masking rulesets and masking templates to drive reusability.
First-class data masking on its own isn’t enough – you need a solution that is convenient to manage and gives you full visibility of your security posture. DataMasque’s centralised administration interface makes it easy to manage all of your masking from a single dashboard, and provides you with comprehensive reporting to ensure you are meeting your compliance requirements.
The administrative web interface unites all data masking functions on a single dashboard – no need for managing SQL and configuration across servers. The centralised interface also streamlines reuse of masking resources.
Reports catalogue exactly which tables and columns are covered by your masking rulesets.
Detailed read-only audit logs record all changes and data masking operations to meet compliance requirements for privacy regulations (such as GDPR, HIPAA, PCI, CCPA, and ISO27001). These audit logs provide evidence of compliance to auditors.
DataMasque has been designed with modern enterprise environments in mind. With horizontal scalability, containerised deployment options, and an automation API, DataMasque can seamlessly slot into your existing data provisioning process or DevOps pipeline – regardless of whether you’re running on-prem or in a public cloud environment.
DataMasque is designed to scale horizontally, enabling you to parallelise your masking workload.
DataMasque’s container-based installation streamlines deployment in on-prem and public cloud environments. Vendor Marketplace support is also available on AWS and Cohesity.
An API-driven administrative interface automates data masking as part of data provisioning workflows and IT service management processes.
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The DataMasque licensing model is based on the total (cumulative) size of each unique masked database: Each time a new unique database is masked, the total on-disk size of that database is subtracted from the available quota of your licence. Database size is calculated as follows:
The allocated size includes datafiles and control files.
SELECT SUM(bytes)/POWER(1024,4) Size_In_TB
FROM dba_data_files
WHERE online_status <> 'OFFLINE' AND status = 'AVAILABLE';
Read-only privilege on dba_data_files, v$database
The total size of all database files on the selected database instance.
SELECT sum(CONVERT(BIGINT, size))*8.0/POWER(1024,3) Size_In_TB FROM sys.database_files WHERE state <> 6;
Read-only privilege on sys.master_files, sys.database_file
The total size of all database files.
SELECT pg_database_size(datname)/POWER(1024,4) AS SIZE_IN_TB
FROM pg_database WHERE datname=current_database();
Read-only privilege on pg_database and system information functions
Don’t see your preferred technology listed?
Get in touch and let us know what you’re after.
DataMasque supports the following platforms and data sources
| Platforms | Version |
|---|---|
Cohesity MarketPlace
|
-- |
|
AWS MarketPlace
|
-- |
| Software Platforms | |
|
Ubuntu
|
18.04 or 20.04 LTS x86 64-bit |
|
Red Hat Enterprise Linux
|
RHEL 8 x86 64-bit |
| Databases | |
|
Oracle Database
|
11gR2, 12gR1, 12gR2, 18c, 19c |
|
Microsoft SQL Server
|
2012, 2014, 2016, 2017, 2019 |
|
MySQL
|
5.7, 8 |
|
PostgreSQL
|
9.6, 10, 11, 12, 13 |
|
Amazon Aurora
|
-- |
|
Amazon RDS
|
-- |
|
Amazon Redshift
|
-- |
“DataMasque helps us lower the likelihood of a breach and secures our customers’ data, which means we avoid expensive regulatory fines.”
— Joseph Landucci, Director of Technology Management, Best Western Hotels and Resorts
“The quality of test data has a direct impact on the quality of your applications. Cohesity’s zero-cost instant clones, combined with DataMasque's powerful data masking capability available through the Cohesity Marketplace, enables enterprises to accelerate their application development with high fidelity data without compromising data sovereignty. The DataMasque app helps to reduce your compliance exposure by masking data before being utilized for application development.”
— Ari Paul, Senior Solutions Marketing Manager, Cohesity
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