In today’s interconnected world, companies that operate across borders face increasing pressure to meet local data protection and privacy regulations. One critical aspect of this compliance is data residency—the requirement to store and manage data within a specific geographic location. This practice is especially important to protect sensitive information, ensure legal compliance, and foster consumer trust.
From the European Union’s GDPR to Australia’s Privacy Principles and India’s Digital Personal Data Protection Act (DPDPA), nations are enacting laws that enforce rules on where data must be stored and how it can be transferred across borders. For organizations that handle personal or sensitive data, understanding and implementing data residency policies is not just a regulatory necessity but also a strategic advantage.
Data residency refers to the physical or geographic location where data is stored, processed, and managed. Its importance stems from the role itself, as it ensures compliance with local laws, protecting data privacy, and maintaining operational control.
Storing data within specific borders helps companies avoid legal penalties, minimize risks of data breaches, and meet customer expectations for data protection. Furthermore, many countries have enacted, or are contemplating, laws requiring that certain types of data—especially personal or sensitive information—remain within their territory.
Several major jurisdictions have strict data laws:
While different laws have nuanced requirements, a common theme emerges: storing data at its source helps ensure compliance and enhances data security.
As data sovereignty laws tighten, companies seek solutions that enable local data storage without sacrificing flexibility or operational efficiency. The challenge lies in managing data across regions with varying regulations. For example, the DPDPA in India not only emphasizes data localization but also calls for strict controls over how personal data is transferred outside the country. Non-compliance can lead to not only heavy penalties, but damage to reputation and loss of customer trust as well
Organizations need tools that support local data storage, facilitate compliance and maintain seamless operational workflows. This is especially critical for teams involved in QA, and development phases, as they are the oneswho handle sensitive test data that must be stored and processed according to local laws.
Appsvio Test Management (ATM) is a newly launched product designed to add robust test management features to Jira. Built exclusively on Atlassian Forge, ATM allows organizations to store and manage test data within any Atlassian-supported region, including India.
Currently, ATM is the only solution on the Atlassian Marketplace that supports data residency in the Indian region explicitly, aligning perfectly with India’s DPDPA requirements. Whether it’s test planning, executing, or reporting, ATM ensures that all test-related data remains securely stored within the jurisdiction, complying with data localization laws.
Thanks to its architecture built on Forge, ATM offers flexible data storage options that adhere to local laws and regulations. This means companies can confidently perform their testing activities, knowing that their sensitive information stays within the desired geographic boundary.
Although India has been the main example here, data residency are similar in other countries and require data to stay within national borders. Using tools like ATM allows to ensure compliance, mitigate legal risks and improve data security overall.
Data residency is no longer optional for organizations operating in countries with strict data protection laws like India, Australia or countries covered by GDPR. It’s a critical component of compliance, security and trust.
For QA managers and testers leveraging solutions like ATM helps streamline compliance without sacrificing operational efficiency. ATM’s support for regional data storage, combined with its seamless integration with Jira, makes it an essential tool for managing test data responsibly and securely.