Cloud Migration Part 2: Classify your data

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Vendor Neutral Training: Proven Protection Against Cloud Horror Stories

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Government Cloud Achilles Heel: The Network

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Networking the Cloud for IoT – Pt 3 Cloud Network Systems Engineering

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Networking the Cloud for IoT – Pt. 2 Stressing the Cloud

By G C Network | June 12, 2016

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Networking the Cloud for IoT – Pt. 1: IoT and the Government

By G C Network | June 7, 2016

  Dwight Bues & Kevin Jackson This is Part 1 of a three part series that addresses the need for a systems engineering approach to IoT and cloud network design:…

Parallel Processing and Unstructured Data Transforms Storage

By G C Network | May 31, 2016

(This post originally appeared on Direct2Dell, The Official Dell Corporate Blog) Enterprise storage is trending away from traditional, enterprise managed network-attached storage (NAS) and storage area networks (SAN) towards a…

In my first post of this series, “Cloud migration part one: An overview,” I provided a high-level summary of how enterprises should migrate applications to the cloud. In this installment, the focus is on enterprise data and why your organization may need to review and reclassify its data before moving anything to the cloud.

Security evolves with cloud

Cloud computing has done more than change the way enterprises consume information technology. It’s also changing how organizations need to protect their data. Some may see this as an unintended consequence, but the headlong rush to save money by migrating applications to the cloud has uncovered long-hidden application security issues. This revelation is mostly due to the widespread adoption of “lift and shift” as a cloud migration strategy. Using this option typically precludes any modifications of the migrating application. It can also result in the elimination of essential data security controls and lead to grave data breaches.

Manage deployment

Today, the cloud has quickly become the preferred deployment environment for enterprise applications. This shift to using other people’s infrastructure has brought with it tremendous variability in the nature and quality of infrastructure-based data security controls. It is also forcing companies to shift away from infrastructure-centric security to data-centric information security models. Expanding international electronic commerce, ever tightening national data sovereignty laws and regional data protection and privacy regulations such as GDPR. These issues have combined to make many data classification schema untenable. Cloud Security Alliance and the International Information Systems Security Certification Consortium (ISC2) both suggest that corporate data may need to be classified across at least eight categories, namely:

  • Data type
  • Jurisdiction and other legal constraints
  • Context
  • Ownership
  • Contractual or business constraints
  • Trust levels and source of origin
  • Value, sensitivity and criticality
  • The obligation for retention and preservation

Classify data

Moving to classify data at this level means that one of the most important initial steps of any cloud computing migration must be a review and possible reclassification of all organizational data. By bypassing this step, newly migrated applications simply become data breaches in wait. At a minimum, an enterprise should:

  • Document all key business processes destined for cloud migration.
  • Identify all data types associated with each migrating business process.
  • Explicitly assign the role of process data owner.
  • Assign each process data owner the task of setting and documenting the minimum required security controls for each data type.

Update policies

After completing these steps, companies should review and update their IT governance process to reflect any required expansion of their corporate data classification model. These steps are also aligned with the ISO 27034-1 framework for implementing cloud application security. This standard explicitly takes a process approach to specifying, designing, developing, testing, implementing and maintaining security functions and controls in application systems. It defines application security not as the state of security of an application system but as a process to apply controls and measurements to applications in order to manage the risk of using them.

In part three of this series, I’ll discuss application screening and related industry best practices to help you determine:

  • The most appropriate target application deployment environment
  • Each application’s business value, key performance indicators and target return-on-investment
  • Each application’s migration readiness
  • The appropriate application migration strategy
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