Data security and privacy challenge organizations to meet different but very critical and complementary issues: Data security governs access to data throughout its lifecycle, whereas data privacy defines that access based on privacy policies and laws—for instance, who views personal, financial, health, or confidential data. Both are challenged today with the growth and proliferation of data from cloud, analytic, and big data initiatives, and the continued barrage of data breaches.
Understanding sensitive data risk is key; the process for analyzing data risk includes discovering, identifying, and classifying it, as well as analyzing its risk based on value, location, protection, and proliferation. Once the type and level of risk have been identified, data stewards can take tactical and strategic steps to ensure data is safe.
Provides data security and privacy controls to prevent unauthorized access to and disclosure of sensitive, private, and confidential information.
Delivers data security intelligence so organizations can understand sensitive data risks and vulnerabilities.
360-degree visibility of sensitive data
Provides secure, automated provisioning of non-production datasets to meet development needs
Retire legacy applications, manage data growth, improve application performance, and maintain compliance with structured archiving.
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