Bridging AI and Data Governance: How the Immuta Marketplace Solution Elevates RAG Systems

Greg Hochard
Published January 30, 2025
Last edited: February 4, 2025
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Technologies like retrieval-augmented generation (RAG) are transforming how organizations apply AI to tackle real-world challenges. By merging generative AI with curated, real-time data retrieval, RAG systems provide accurate, relevant, and actionable results, without the resources needed to build a custom LLM from scratch.

However, the data powering these systems is often sensitive, requiring carefully managed access controls to ensure security and maximize functionality. Perhaps that’s why a survey of 700+ data professionals found that 55% agree that their data security strategy isn’t keeping pace with the evolution of AI.

The Immuta Data Marketplace solution delivers on this requirement and helps put more data to work by offering governed access to enriched data products. This provides immense value to companies across industries, such as healthcare and life sciences (HLS), and financial services (FS), fostering collaboration and ensuring that more of their data is used more efficiently.

What is artificial intelligence (AI) governance?

Artificial intelligence (AI) governance refers to the processes and policies put in place to ensure that AI is developed, deployed, and used ethically, responsibly, and safely. This means establishing measures that promote transparency and mitigate the risk of bias, unauthorized data exposure, and other potential harms. AI governance frameworks should clearly define the people accountable for verifying that AI practices meet organizational and regulatory standards, so that AI models are transparent and trustworthy.

What is retrieval-augmented generation (RAG)?

Retrieval-augmented generation (RAG) augments generative AI by infusing timely and domain-specific information into existing models. In doing so, it blends two core capabilities:

  1. Retrieval: Drawing relevant information from a knowledge base or external source to provide context.
  2. Generation: Using a generative AI model to produce responses rooted in the retrieved data.

This combination ensures outputs are insightful, accurate, and grounded in up-to-date information. As a result, users get more precise outputs than they would with open models, without spending time and resources on building, training, and deploying a customized model.

However, RAG’s effectiveness hinges on the quality of its data sources. High-quality, domain-specific data can make all the difference. Data that is outdated or has been manipulated compromises the integrity of the model outputs, which can impact decision-making and other key use cases.

Read more about RAG-based models and how they work here.

What are data products?

Data products are curated, reusable combinations of data that address specific business challenges or provide a certain value to users. Examples include customer segmentation models, sales forecasts, enriched datasets, and compliance dashboards.

According to Gartner, data products must be accessible, secure, and monitored for changes and quality assurance. Reaching these standards is a driver behind the increasing popularity of internal data marketplaces, which facilitate data product management and usage. For instance, the Immuta Data Marketplace solution makes creating, discovering, and governing data products straightforward, ensuring they are accessible, secure, and compliant. Let’s take a closer look.

What is the Immuta Data Marketplace solution?

The Immuta Data Marketplace solution serves as a centralized hub for publishing, discovering, and provisioning data products. This makes it easier for data producers to publish data assets, faster for data consumers to find them, and simpler for data stewards and governors to provision access. As a result, teams are able to accelerate data access with automated workflows, enable internal data sharing, enhance security and governance, and improve collaboration across all stakeholders.

Key benefits of the Immuta Data Marketplace solution include:

  • Effortless discovery: Find and use data products with minimal effort.
  • Strong access controls: Enforce precise compliance and security standards.
  • Team collaboration: Enable seamless teamwork while maintaining robust governance.

Why combine RAG with the Immuta Data Marketplace solution?

As organizations race to integrate nuanced AI solutions to gain a competitive advantage, they must do so in a way that protects their data. This is made more complicated by the fact that many AI models combine structured and unstructured data, the latter of which is harder to control. Adding data products into the mix can make it difficult to track what information is being accessed, viewed, and shared.

In order to truly maximize the value of data in any format – structured, unstructured, or curated – you need a solution that’s built with agility, granularity, and interoperability at the forefront. That’s where Immuta comes in.

Combining the innovative power of RAG systems with the Immuta Data Marketplace solution creates a powerful ecosystem that:

  1. Boosts knowledge relevance: RAG systems leverage curated data products, ensuring responses are deeply relevant and precise. The Immuta Data Marketplace solution is purpose-built to operationalize data products with dynamic controls in place, giving data product owners, data stewards, and data governors alike a high degree of authority and transparency into how those data products are used by RAG-based models.
  2. Broadens use cases: Access to diverse data products expands the scope of RAG applications. By putting more curated data products to work – quickly and safely – the Immuta Data Marketplace solution makes RAG systems smarter and more customizable, so they can deliver better outputs for your specific business needs.
  3. Guarantees governance: Immuta’s automated policy enforcement ensures all RAG outputs comply with regulations and organizational standards. As privacy concerns about AI and legislation on it increase, building governance into RAG systems will help stave off potential AI risks.

Putting data products to use with RAG systems: Use cases across industries

Driving clinical research in healthcare and life sciences

Clinical researchers in the healthcare and life sciences (HLS) field often struggle to access patient datasets due to stringent regulations like HIPAA. Protecting clinical trial participants’ privacy is paramount, but frequently creates friction with the need for fast analysis that helps expedite time-to-market for new treatments.

The Immuta Data Marketplace solution enables secure access to anonymized and aggregated patient data as data products. Data products can be created using pre-clinical data, clinical trial data, genomic data, and more, and are then readily available for analysis as needs arise. When integrated with a RAG system, these resources empower researchers to:

  • Uncover trends in patient health data, such as immune response and efficacy measurements.
  • Customize treatment plans based on population-level insights, which helps aid public health efforts.
  • Predict outcomes using AI models enhanced by real-world evidence, helping to improve the accuracy of patient diagnoses.

Enhancing risk analysis in financial services

Financial services (FS) institutions must evaluate risks dynamically while adhering to strict compliance standards, such as PCI-DSS. Identifying anomalous behavior that could indicate fraud, money laundering, or other financial crimes, is dependent on data. But, that data must be analyzed without exposing sensitive personal information to unauthorized parties.

The Immuta Data Marketplace solution provides governed access to data products that help analyze credit scores, fraud detection models, and market trends. Incorporating these data products into a RAG system allows analysts to:

  • Generate timely, data-backed risk assessments that help organizations put mitigation tactics in place.
  • Simulate market conditions with AI-driven models in order to forecast various scenarios.
  • Detect fraud patterns with improved precision so they can proactively identify them in the real world.

Making smarter decisions across industries

From retail to manufacturing, businesses can use the Immuta Data Marketplace solution to access sales projections, supply chain optimizations, and customer sentiment data. Paired with RAG systems, this provides a more efficient and collaborative way to improve functions, identify improvements, and gain a competitive advantage – without requiring additional time or resources.

A RAG system fueled by data products delivers:

  • Detailed insights tailored to unique scenarios.
  • Actionable recommendations for operational improvements.
  • Alerts to potential challenges before they arise.

The visionary opportunity

The integration of RAG systems with the Immuta Data Marketplace solution offers organizations an opportunity to confidently enhance their AI capabilities, while ensuring that data access remains as secure and accessible as possible. In a time when data governance risks being overshadowed by the rapid evolution of AI tools, this approach provides a way for businesses to embrace AI freely — whether through text-to-answer prompting, dashboard generation, or other emerging applications — without compromising on governance.

By pairing AI with trusted, curated data products, businesses can foster faster, more secure data access while maintaining compliance. This approach not only delivers actionable insights, but positions organizations to thrive in an increasingly AI-driven future by ensuring their data practices are ready to meet tomorrow’s challenges.

Ready to explore the future?

Interested in how this innovative approach could transform your organization? Get in touch with us today to schedule a demo and see how the Immuta Data Marketplace solution can redefine your AI and data governance strategies.

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