Digitization and data breaches have led to increased privacy regulations, with banks struggling to protect sensitive data in vital applications such as Temenos, in an efficient and cost-effective way.
Date: June 22nd, 2021
Time: 14:30 pm CET
Reserve your seat
As much as 90% of your sensitive data resides in environments used for development, testing, or reporting.
Discover how ConnectIQ provides an integrated solution for identifying, masking and delivering secure data.
ConnectIQ is an intelligent DataOps platform, built with AI, iRPA and machine learning, and that allows for fast and secure self-service access to test data and is able to identify and protect sensitive data. It has a data profiling functionality to understand the complex table structures and metadata formats used in Temenos applications enabling users to automatically identify those fields that contain sensitive data values.
Leveraging data masking algorithms, that do not require programming or coding skills, it is able to irreversibly mask this sensitive data at high speed, allowing faster security and compliance even in large environments without affecting overall delivery schedules.
Time: 14:30 pm CET
Reserve your seat
As much as 90% of your sensitive data resides in environments used for development, testing, or reporting.
Discover how ConnectIQ provides an integrated solution for identifying, masking and delivering secure data.
ConnectIQ is an intelligent DataOps platform, built with AI, iRPA and machine learning, and that allows for fast and secure self-service access to test data and is able to identify and protect sensitive data. It has a data profiling functionality to understand the complex table structures and metadata formats used in Temenos applications enabling users to automatically identify those fields that contain sensitive data values.
Leveraging data masking algorithms, that do not require programming or coding skills, it is able to irreversibly mask this sensitive data at high speed, allowing faster security and compliance even in large environments without affecting overall delivery schedules.