Data security is the process of safeguarding important information from corruption, compromise or loss. Its importance increases as the amount of data created and stored continues to grow at unprecedented rates. This important topic came to us from Security Intelligence in their article, “It’s 2022: Do You Know Where Your Sensitive Data Is?“
A large part of a data protection strategy is ensuring that data can be restored quickly after any corruption or loss. Protecting data from compromise and ensuring data privacy are also important.
There is no shortage of studies finding that consumers demand better data security from organizations that handle their personal data. How can an organization secure sensitive data at the same time as sharing data across functional boundaries?
As artificial intelligence (AI) evolves, it magnifies the ability to use personal information in ways that can intrude on privacy interests by raising analysis of personal information to new levels.
Making data accessible is something we know a little about. Keeping data safe is important. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Finding concepts takes AI to delve through your data to identify and classify concepts and allows you to expand your semantic model to create meaning and relationships.
Melody K. Smith
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