Managing Cloud Data Migration Risks

Data has become a modern organization’s most valuable asset, yet controlling and protecting it—especially during cloud migration—is increasingly difficult because data is spread across systems, environments, and multiple clouds. This complexity is amplified by the worldwide growth of data protection and data sovereignty laws, which can impose substantial financial penalties and create conflicting requirements. The tension is acute when third parties in other countries process sensitive information, raising the need for consistent governance, security, and lifecycle controls wherever data resides.

Three major business risks arise when data is not adequately secured: business failure from loss of access to critical data due to ransomware or denial-of-service attacks; loss of competitive advantage if intellectual property is stolen; and financial plus reputational damage if personal data is breached. Regulatory developments such as GDPR, the Schrems II judgment, and EDPB recommendations further require that personal data of EU residents not be processed “in the clear” outside the EU, and that legal mechanisms like SCCs alone are insufficient without supplementary technical measures. Key technical measures highlighted include encryption, pseudonymization, and split processing.

The Protegrity Data Protection Platform is presented as a centralized, policy-driven approach to governing, managing, and securing data throughout its lifecycle. It offers discovery and classification (including machine learning–driven adaptation), fine-grained access controls, encryption with customer-controlled keys (KMIP and HSM support), pseudonymization, static and dynamic data masking, and patented Vaultless tokenization using small static token tables. It also supports data retention policies and emphasizes secure disposal challenges in cloud environments. Strengths include hybrid/multi-cloud coverage and consistent enforcement of controls wherever data moves, while challenges include usability and deployment complexity for some users and the need to pair it with broader resilience and security hygiene tooling, since backup and recovery are not included.

• Data protection and data sovereignty laws and regulations are increasing globally, and failure to comply can result in substantial financial penalties.
• Inability to access business-critical data after ransomware or denial-of-service attacks can cause an organization to fail.
• Theft of intellectual property can eliminate an organization’s competitive advantage if provided to a competitor.
• Breach of personal data can trigger financial penalties and reputational damage.
• The Schrems II judgment and subsequent EDPB recommendations state that processing EU residents’ personal data “in the clear” outside the EU is not permitted.
• Standard Contractual Clauses are described as insufficient on their own without supplementary technical measures.
• EDPB supplementary technical measures are summarized as encryption, pseudonymization, and split processing.
• Protegrity was founded in 1995 and is headquartered in Stamford, Connecticut.
• The platform supports the Key Management Interoperability Protocol (KMIP) and Hardware Security Modules (HSM) for protecting encryption keys.
• Protegrity does not provide data backup and recovery for resilience to ransomware and other data corruption.

• “Data is the most valuable asset of the modern organization but protecting and controlling it when migrating to cloud services is a major challenge.”
• “Governing, controlling, and securing this data in a consistent way wherever it is held is a major challenge.”
• “Organizations must implement supplementary technical measures to protect that data.”
• “Organizations can only protect the data that they know they have.”
• “Static controls are not adequate.”
• “Data protection controls must be dynamic and apply to data whenever it is created and follow the data wherever it moves.”
• “Encryption provided by a cloud service provider is not sufficient since the cloud service provider (CSP) controls the encryption keys and hence has the potential to access the data.”
• “Static Data masking transforms data fields into a form which resembles the original data without revealing to original data.”
• “Dynamic Data Masking shields data while it is in transit.”
• “It must also be implemented as part of a complete data protection security architecture.”