Maya Dynamic Data Masking

Dynamic Data Masking comes into play where data can not be physically masked like production databases but there is a need of hiding or showing data according a list of policies that are bound to specific rules. There is a "not well-defined" area of securing data dynamically and securing data with a database firewall, so for flexibility Maya Data Management Suite includes functionality that can act as a sort of basic database firewall - ability to limit authentication, IP/Port access restrictions, ability to restrain specific database functions and ability to audit requests and responses.

Proxy module acts as a database connection listener layer to clients, so only change required for the clients are the IP address and Port they use to connect to the target database with Proxy module's IP Address/Port pair of Maya Data Management Suite. This lets end-users to use their favorite applications (SMSS, SqlPlus, SqlCmd etc.) and their native connection libraries (jdbc, native, odbc etc.), there is no additional installation required for the client-side.

Features

  • Multi-tenant supported
  • Distributable
  • Platform independent
  • Multi-language support
  • No database agent installation
  • No database version change
  • No data storage
  • No protocol change
  • No client change
  • CEP supported
  • Multi-database one-console visualization
  • Data analytics on available client info
  • SQL auditing
  • Database firewall like features
  • Independent from amount of data
  • Dynamic rule deployment
  • Multi-layer interception
  • Loosely connected asynchronous communication

Protect Your Data

Discover hidden instances of private data so they can be fully protected.




Reduce Security Costs

Leverage masking services to mask data on demand, anywhere at any time.




Continuous Awareness

Agile and flexible, so users can find answers to their questions ad hoc without relying on the help of IT to set up a complex environment prior working with the data.

Engineered & READY

Allows easy handling of a high volume and variety of data as the large amount and increasing variety of data require more efficient and user-oriented methods of presentation to make sense of them.

SUPPORTED DATABASES


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