Data security and privacy
Failure to keep your data protected or secure can result in loss of revenue, failed audits, data breaches and higher compliance costs. In the era of big data, ensuring data security and integrity is a high priority. It is also increasingly important to detect who is who, who knows whom, and who is doing what, to protect data and systems from threat and fraud.
IBM solutions enrich security and compliance initiatives with:
Detects and prevents money transfer fraud before it impacts customers
Large healthcare insurer improves application testing and protects privacy with IBM Optim
Insurer masked sensitive data to support HIPAA requirements across nonproduction internal and outsourced environments
Three guiding principles to improve data security and compliance
A holistic approach to data protection for a complex threat landscape
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Protect data in physical and virtual infrastructures
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy.
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Magic Quadrant for Data Masking Technology
Gartner reports that data masking should be mandatory for enterprises using copies of sensitive production data for application development, analytics or training.
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Four steps to a proactive big data security and privacy strategy
Elevate data security to the boardroom agenda
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