Solve your data masking challenges
The ability for businesses to be able manage sensitive data efficiently is one of the biggest issues for financial institutions today.
Our data masking solution helps businesses meet privacy and security requirements. Irion solutions fully maintain data consistency so that you can still analyze it, while maintaining privacy & compliance.
Guaranteed Privacy Compliance
We know and understand the challenges you face so we made our solution to create a business advantage out of compliance challenges. Our data masking solution addresses the most pertinent privacy regulations, for example the GDPR.
Our masking engine is more than the typical basic tool. Irion masks data in a way that maintains data coherence throughout the entire process, so that you can continue to leverage your data and make business decisions based on valuable information, without privacy infringements getting in the way.
Use just one tool. With Irion, data masking is already included in the platform to complete your EDM strategy, and so that you can avoid the complexity of having to adopt many different tools.
Our masking capabilities are completed integrated with the Irion platform so that you can mask already transformed data and its output, use a mapping dictionary, repeat and store processes, define making profiles for users, and integrate your solution with your data governance strategy.
Easily and simply mask data, using our powerful Masking engine. You just need to configure profiles and dictionaries. You can also iterate the engine several times on a dataset to enforce your masking policy according to your needs and then publish the masked data for other processes.
Masking for any Situation
With our solution, you can protect sensitive data in different ways. You can mask an entire DB at the source. Or, you can dynamically mask sensitive data when it is accessed through applications, APIs or mobile formats, using segregation parameters (user name, workstation, profiles, etc.) to achieve full control of your data.