Nov 23, 2021


1 min read
  • Organizations face challenges accessing and ensuring the quality, reliability, and privacy of data, which is often siloed across applications, making it difficult to access and confirm accuracy, and secure sensitive information.
  • Internal data marketplaces, which offer a centralized and secure platform for democratizing access to data, can help organizations make data-driven decisions and pursue AI, ML, and advanced analytics initiatives, while format-preserving tokenization and role-based access control can help protect sensitive data without slowing down innovation.

Building a Secure Internal Data Marketplace with Protegrity and AWS

As businesses increasingly look to make data part of their decision making process, many face issues when it comes to the quality, reliability, and privacy of that data. In the modern enterprise tech stack, data is often siloed and stored across a range of applications. As a result, most organizations run into issues accessing the data they need, confirming its accuracy, and ensuring sensitive information remains private.

Organizations looking to consume data for the purpose of informing the decision making processes or to pursue artificial intelligence (AI), machine learning (ML), and advanced analytics initiatives need a single, trusted data source. To address this, many organizations are turning to the concept of an internal data marketplace—a secure, centralized, and simplified way to democratize access to data. Internal data marketplaces offer data consumers an e commerce-like experience, bringing the convenience of an online shopping cart to data.

Through Protegrity’s partnership with AWS, companies can easily build an internal data marketplace that provides integrated data collection, ingestion, transformation, storage, and consumption, backed by Protegrity’s comprehensive data security capabilities to power secure, data-driven decision making at all levels of the organization.

The Crucial Role Data Security Plays in Internal Data Marketplaces

As more countries enact data privacy laws, the protection of sensitive data is becoming an increasingly integral part of the data lifecycle. However, data security is often at odds with businesses’ ability to use data for analytical purposes; there is an ever-present struggle between using data and securing it. Traditional data security methods introduce tighter controls, which inhibit data sharing and data use. Data analytics initiatives are often hamstrung by strict data security standards—significantly slowing innovation.

There are multiple ways to protect data—encryption, data masking, tokenization, hashing—but format-preserving tokenization (FPT), combined with role-based access control is a proven and effective way to protect sensitive data without slowing down the use of data for analytics. Once role-based access control is implemented into an internal data marketplace, it becomes exponentially easier to democratize data and securely harness its power.

With Protegrity’s highly scalable, API-driven architecture, companies can leverage AWS services such as AWS Lake Formation and Amazon Athena to easily and securely build an internal data marketplace.

Learn how to build and manage your own internal data marketplaces during AWS re:Invent 2021. Join Subhasis Bhattacharya, data strategy, data engineering, and analytics leader at Amazon and Igor Alekseev, data and analytics partner solutions architect at AWS, as they explore AWS’s internal data marketplace platform, which enables digital acceleration and agility while driving significant business value.

Read more about AWS and the Internal Data Marketplace on the AWS Blog: From Data Chaos to Data Intelligence: How an Internal Data Marketplace Transforms Your Data Landscape

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