Data platform teams are increasingly adopting data product frameworks within their AI and analytics environments, yet manual, ungoverned data security workflows continue to create bottlenecks and security risks. Raito has developed a comprehensive data security framework for data products, enabling teams to secure data efficiently and safely while maintaining productivity for data consumers. In this article, we explore the six key pillars of a secure and scalable data security framework for data products. While each element is effective on its own, their true power comes when combined.
Federate ownership to domains
To enable faster decision-making and more tailored governance across data products, organizations are federating ownership of data products to individual data domains. With Raito, non-technical data product owners have the tools to manage access across environments and applications. They can easily manage access, approve requests, apply data security controls, and set time-bound access limitations. This approach not only empowers domain teams but also relieves the central data team, driving scalability and flexibility.
Dynamically apply access policies
To achieve true scalability, automating data access and security management through attribute-based access controls (ABAC) is essential. With ABAC, data product owners can dynamically grant access to data products based on user attributes like role, seniority, or team. Similarly, data stewards can use ABAC to automatically mask or filter sensitive data based on both the data's sensitivity and user attributes, such as department or geographic location. This approach ensures scalable, efficient data governance while maintaining end-user productivity.
Monitor and report compliance
When federating ownership of access controls to data product owners, it's crucial for the central data governance team to have the tools to centrally monitor and ensure compliance with data access policies and regulations. With Raito, the data governance team gains comprehensive oversight of who has access to specific data, how that data is being used, which security controls are in place, and a full audit trail of access and security control changes. This enables seamless governance while empowering data product owners
Streamline access requests to data products
Slow access request management creates a bottleneck in Self-Service Analytics, hindering productivity. With Raito, data consumers can easily request access to data products directly from their data catalog, within Raito, or via Slack. Once the request is approved by the data product owner, Raito automatically grants access to the underlying system. Additionally, Raito can be configured to automatically revoke access after a specified time, ensuring efficient and secure access management.
Manage Access as Code in CI/CD
Mature data teams have started adopting CI/CD practices to streamline the development and deployment of data products, ensuring faster, more reliable delivery. By managing access as code data teams can have automated and version-controlled access controls that are easy to promote across staging environments. This approach eases the burden on the central data governance team while also improving data security, and reducing manual errors. With Raito’s access-as-code, data teams can also achieve segregation of duties and automate data security using ABAC.
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Bonus: Identity centric access management
As most data teams today operate in a multicloud environment, an identity-centric approach to access management is essential. Raito enables you to centrally correlate user accounts across various data sources, BI tools, and developer platforms, providing a unified way to manage and monitor access across all environments. This not only simplifies access management but also strengthens security.
A scalable data security framework is essential for organisations adopting a data product framework. With Raito’s comprehensive approach, organisations can balance security with productivity, empowering both data product owners and data governance teams. Together, these six pillars create a robust foundation for scalable data security, helping organisations unlock the full potential of their data products.
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