We heard you and we did it! Cosmic Kayka LLC is releasing a data privacy and
security solution for Postgres customers:
SPA 1.0, a Simple Privacy and Anonymization extension for Postgres
As enterprises grow, they soon start to outgrow their data privacy and security
requirements. Also, as the CIO’s strategize to streamline processes and drive
business decisions on operational data insights in their effort to digitally
transform the enterprise, a more comprehensive data strategy is needed.
Good news is that Postgres is quickly accelerating its footprint, however, lack
of native support for Data Privacy and Security is becoming a critical barrier
for widespread enterprise adoption. Enterprise Postgres customers have long
been looking for a native solution. We have identified the gap and have
developed SPA, a Simple Privacy and Anonymization framework, offered as an
extension to the Postgres DB.
Cosmic Kayka's SPA extension, with its comprehensive framework and extensive
capabilities, addresses the core requirement and plays a central role in
accomplishing enterprise data privacy, security, and transformation. Cosmic
Kayka is currently offering the solution with integration and technical support
for Postgres database.
Here is a link to our product page with a brief on the SPA extension:
https://www.ckayka.com/Global/products.html#
SPA is self-contained extension and is entirely independent of any other
extensions nor does it rely on specific DBMS's features such as Security Label
implementation of postgres. SPA is a data privacy and security framework with
its own rule system. SPA framework can be integrated with any custom privacy
functionality including third-party extensions. Some of the feature highlights
are listed below:
• A Framework for Privacy and Anonymization<br>
• Rule-based framework<br>
• Highly flexible and easy to extend<br>
• Protect Personally identifiable information (PII) and/or any
enterprise/product/customer sensitive information<br>
• Multitude of privacy and anonymization functions<br>
• Default implementation for various masking and anonymization
functions. Example: Obfuscation functions for first name, last name, date of
birth, social security number, street address, state, zip code, salary,
strings, numbers, dates, money, etc.<br>
• Separation of masking from obfuscation<br>
• Ability to override default implementation using rules<br>
• Comprehensive rule types with ability to set fixed values,
NULL, or use custom functions<br>
• Ability to scope rules at user level, role level, role group
level, or for all users (PUBLIC)<br>
• Support for rule inheritance via role inheritance. NOTE: Only
one rule that gives most access (or least privacy/anonymization) is applied,
when in conflict<br>
• Support for applying privacy and anonymization to new views
using spa functions<br>
• Auto enable existing tables and views for privacy and
anonymization<br>
• Support spa-replication while applying privacy and
anonymization during replication<br>
• Default functions to support auto enabling of existing tables
and views for 20+ data types<br>
• Support for custom functions with arbitrary number of input
parameters and data types<br>
• Support for data transformation<br>
• Fully configurable enabling total customization<br>
• Integrates with custom implementation and/or a third-party
anonymizer<br>
Enjoy your privacy, feel secure, and hide your sensitive data behind SPA!
Please contact to learn more about how we can partner together to seamlessly
tackle the data privacy, security, and transformation needs of your
enterprise:<br>
Rama Nalla<br>
[email protected]<br>
Cosmic Kayka LLC<br>
www.ckayka.com<br>
