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© 2022 SPIRION, LLC. ALL RIGHTS RESERVEDWHITE PAPER
Unify data security,
privacy, and governance
with contextual data
classification
Context is
everything:

2
How auto-classifying data based on content
and context helps CISOs solve modern data
security, privacy, and governance challenges
Enterprise data can be a transformative asset. It can unlock insights and
intelligence to fuel
innovation, accelerate organizational growth, and create a significant
competitive advantage —
so long as it’s properly used. Yet, for many organizations, high-value data
remains locked away
across scattered silos that make it difficult to find, operationalize, track,
and protect. Businesses
that rely on outdated data governance philosophies and data management tools
miss out on
critical, profit-driving insights as well as crucial context about how to
access, store, or use that
information properly.
Traditional data classification and governance solutions require advanced
extraction, translation,
modeling, and mapping techniques to reach a common format that’s shareable
across systems.
These tools are often cumbersome, complex, and ill-suited to today’s constantly
changing data
landscape marked by new location-specific data privacy regulations, different
cybersecurity
frameworks like NIST, and other evolving guidelines. Modern enterprise
classification
requirements extend well beyond sensitivity classification into other aspects of
data that need
to be categorized.
Organizations should look to next-generation data classification solutions that
allow analysts
to simultaneously unlock vital business insights and intelligence while
dramatically enhancing
the security and privacy of high-value sensitive data. By leveraging both
content and business
context to automate data classification policies, organizations can purposefully
classify data
to support a range of data security, privacy, and governance initiatives—unified
by a common
enterprise language.
In addition, organizations must ensure that all of their data is being both
properly protected and
shared. Next-gen data classification solutions move away from complex scripts
and introduce
easy-to-use dynamic playbooks, so they can quickly assess how data is stored,
tagged, and
moved throughout the organization.
“What is needed is a purposeful shift
away from managing a mesh of siloed,
inconsistent data to a position where
data is fuel for accelerating growth
and innovation, improving financial
performance, and enhancing the
enterprise culture.”
https://www2.deloitte.com/us/en/pages/consulting/articles/data-strategic-asset.html
















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Data Classification Governance Use Case Ebook
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