Data masking on distributed systems offers a critical safeguard by ensuring that personal and sensitive data is obfuscated, while preserving its usefulness for testing, analysis, and other business processes supporting AI initiatives. Masked data is no longer personally identifiable, but it still behaves like actual data for testing and other use cases.
Looking back on the past 45 years, I am both amazed and proud of how far DataVantage has come. When I invented the first-ever multi-dimensional application development testing and data management software tool on the mainframe, my goal was to simplify the complexities of managing the IMS hierarchical databases supported by some of my consulting … Read more
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