BY SPIRION
August 10, 2023
The Struggles with Personal Data
Statistics highlight the persistent divide in enterprise data practices.
A staggering 78% of line-of-business users encounter daily frustrations when accessing data1, according to 451 Research. Simultaneously, organizations grapple with responding to increasing Data Subject Access Requests, with 28% of large enterprises taking days to retrieve and remediate sensitive personal data2.
The inability to swiftly manage data privacy challenges impedes a holistic customer experience, contributing to the hesitation around data-driven endeavors.
It’s no wonder then that 26% of organizations view “data privacy concerns as one of the most significant barriers their organization faces in attempting to be more data-driven.”
451 Research elaborates, “It is clear that the inability to consistently execute on data privacy creates a certain organizational hesitation around the leverage of data: hesitation that can directly slow down business progress and competitive viability.”3
Breaking the Data Blocking Cycle
451 Research makes the case that the definition of data privacy software “generally needs to extend beyond technical data security mechanisms and support the persistent protection of data throughout an organization’s entire data estate: regardless of where data resides.”4
The research also suggests broadening the scope of data privacy software beyond technical security measures.
They advocate for consistent data protection throughout an organization’s data landscape, encompassing data discovery, classification, and real-time remediation. These privacy-enabling technologies should seamlessly integrate with human workflows, enhancing the data privacy effort’s effectiveness and promoting responsible data management5.
The National Institute of Standards and Technology (NIST) has also weighed in on the issue declaring, “Deriving benefits from data while simultaneously managing risks to individuals’ privacy is not well-suited to one-size-fits-all solutions.”6
We couldn’t agree more, which is why we have created the concept of Privacy-Grade™ data protection.
Introducing Privacy-Grade Data Protection
Privacy-Grade is a groundbreaking framework in the world of privacy technology, setting the bar for superior data protection practices. This innovative approach defines a set of high-quality standards that greatly enhance safeguarding techniques.
By focusing on the intricacies of data discovery, secure storage, and meticulous control, Privacy-Grade creates a solid foundation for privacy management. It encompasses a wide range of technologies and techniques, ensuring the highest level of privacy control, data privacy management, and security capabilities.
Unlike conventional security solutions that react to threats, Privacy-Grade takes a proactive stance. It goes beyond network infrastructure to secure data where it matters most – at rest. With preemptive defense measures in place at the database and individual data record levels, Privacy-Grade tackles data security concerns head-on.
The ultimate goal of Privacy-Grade is to raise the bar for data protection protocols across the entire lifecycle of sensitive and regulated data. From data collection to secure storage and responsible sharing, Privacy-Grade contributes to a fortified data environment.
We continue the education on Privacy-Grade in our next post on the “3 Must-Have Standards of Privacy-Grade Data Protection.”
SOURCES:
1, 2, 4, 5, 7: Deliver Effective Sensitive Data Protection with Three Must-Have Standards, 451 Research and Spirion, March 2021
3: Voice of the Enterprise: Data & Analytics, Data Management & Analytics Study, 451 Research, 2H 2020
6: The National Institute of Standards and Technology NIST Privacy Framework
