IRI adds a critical layer of protection to help organizations secure sensitive information embedded in SQL scripts across ...
Data masking tackles security issues head-on by tweaking data's actual digits and letters, maintaining confidentiality. It alters data values while preserving the original format, creating a ...
Data privacy regulations—coupled with the desire to protect sensitive data—impose requirements on organizations to protect production data. Since many organizations rely on production data as a ...
Last week’s article covered the topic of protecting data in databases from the inside out. That is, watching every action involving data as it happens, and promptly halting improper actions. This week ...
Quality and speed do not always go hand in hand. In test data management, however, they need to, because it has become more ...
Nearly every IT person has seen it at some point: a test bed populated with real, sometimes business-sensitive, data just waiting to fall into the wrong hands. "It's so easy to just make a copy -- and ...
Data masking is one of the ways to protect confidential information from unauthorized use. When masking, data is replaced either with arbitrary symbols or (more often) with fictitious data. The array ...
The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.
Sensitive data is a part of every large organization’s normal business practice. Allowing sensitive data from production applications to be copied and used for development and testing environments ...
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