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Cloud Migration Best Practice: Classifying Your Data



In my first post of this series, “CloudMigration 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.

Cloud computing has done more than change the way enterprises consume information technology.  It is 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 simultaneously uncovered long-hidden application security issues.  This revelation is mostly due to the wide adoption of “Lift & 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.

While there is no doubt in the good intentions of all involved, traditionally, enterprise applications were developed for deployment into the organization’s own IT infrastructure.  This implicit assumption also included the use of infrastructure-based security controls to protect organizational data.  These generally accepted industry practices were coupled with a cultural propensity to err on the side of caution by protecting most data at generally high levels.  During an implementation, organizations typically used a two-level (sensitive and non-sensitive) or at most a four-level data classification model.

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 (i.e., GDPR) have also combined to make many data classification schemas generally untenable.  Cloud Security Alliance and the International Information Systems Security Certification Consortium (ISC2), in fact, both suggest that corporate data may need to be classified across at least eight categories, namely:
  • Data type (format, structure)
  • Jurisdiction and other legal constraints
  • Context
  • Ownership
  • Contractual or business constraints
  • Trust levels and source of origin
  • Value, sensitivity, and criticality
  • The obligationfor retention and preservation

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.  In 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” to appropriate individuals; and
  • Assign each “Process Data Owner” the task of setting and documenting the minimum required security controls for each data type.

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 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 (the results of the process) but as “a process an organization can perform for applying controls and measurements to its applications in order to manage the risk of using them.”

In Part 3 of this series, I will discuss application screening and related industry best practices and include:
  • Determining the most appropriate target application deployment environment;
  • Determining each application's business value, key performance indicators and target return on investment;
  • Determining each application's migration readiness; and
  • Deciding the appropriate application migration strategy.



This post was brought to you by IBM Global Technology Services. For more content like this, visit ITBizAdvisor.



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More Stories By Kevin Jackson

Kevin Jackson, founder of the GovCloud Network, is an independent technology and business consultant specializing in mission critical solutions. He has served in various senior management positions including VP & GM Cloud Services NJVC, Worldwide Sales Executive for IBM and VP Program Management Office at JP Morgan Chase. His formal education includes MSEE (Computer Engineering), MA National Security & Strategic Studies and a BS Aerospace Engineering. Jackson graduated from the United States Naval Academy in 1979 and retired from the US Navy earning specialties in Space Systems Engineering, Airborne Logistics and Airborne Command and Control. He also served with the National Reconnaissance Office, Operational Support Office, providing tactical support to Navy and Marine Corps forces worldwide. Kevin is the founder and author of “Cloud Musings”, a widely followed blog that focuses on the use of cloud computing by the Federal government. He is also the editor and founder of “Government Cloud Computing” electronic magazine, published at Ulitzer.com. To set up an appointment CLICK HERE

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