In the world of data management, not all sensitive data fits neatly into predefined categories. Many organizations deal with unique data types and formats that standard data discovery frameworks fail to recognize. As data protection regulations become more stringent, the ability to identify and manage sensitive data accurately is crucial. However, the...
“What data do we have?” Data’s entire life cycle – from collection, to analysis, to insights and business-driving application – begins with this question. Understanding your organization’s data remains critical to effectively using and protecting it, especially as platforms, users, and data sets constantly evolve. But gaining a contextual understanding...
According to the United States’ Cybersecurity & Infrastructure Security Agency (CISA), 47% of American adults have had some amount of their personal information exposed by cyber criminals. With the volume of data that today’s organizations collect, store, and leverage on a day-to-day basis, no one wants to be responsible for...
If you’ve done any work with data, you’ve likely heard the term “sensitive data.” Data compliance regulations like the GDPR, HIPAA, CCPA, and more make repeated mentions of “sensitive personal data” and “sensitive personal information,” and many privacy statements include similar language. A quick search of the term “sensitive data” returns more...
As data breaches and cyber attacks become more common, protecting data privacy is an increasingly important concern for companies that use data to compete. According to Cybercrime Magazine, the total cost of cybercrimes is an estimated $8 trillion, and is expected to climb more than 30% in the next two years....
As modern data stacks become more complex, data teams need more efficient ways to manage sensitive data. When more data sources are added or more platforms leveraged for storage and analysis, understanding what kind of data lives in your data ecosystem can become increasingly difficult. This difficulty becomes more of...
Access to sensitive data is more critical to data analytics and data science than ever before. But in today’s environment, speed to data access is contingent upon how secure that data is. To help data teams achieve faster, safer, more cost efficient analytics and data science initiatives, we have formed a...