The rapid rise of AI agents, autonomous software entities capable of reasoning, planning, and executing complex tasks, has created a fundamental paradigm shift in how we interact with data. We have moved from a world of static interaction, where known users followed rigid application paths, to a generative world where...
AstraZeneca’s mission is clear: unlock science for patients, responsibly. That commitment shows up in how they manage data, ensuring it’s “responsibly sourced, rapidly available, and always protected,” as Gayathri Ramamoorthy, Associate Director of Data Engineering at AstraZeneca, explained during a recent webinar. That standard is hard to meet when research...
We have all seen capabilities for publishing data products, surfacing them for data consumers to discover and request access, and making access decisions. But what about when that data product contains sensitive columns that some users should see but others should not? The state-of-the-art solution to date for this workflow...
Managing access requests to data can be an overwhelming job for data stewards – and the pressure is mounting. The number of data users will continue to explode as AI capabilities make it more accessible for all users – not just analysts or data scientists – to derive insights from...
Identity governance and administration (IGA) solutions aim to manage access request processing and workflow orchestration, as well as identity access certification. Said more plainly: IGA holds the logic that is the glue between your users and their access to your business resources. IGA solutions have existed for quite some time....
With nearly half of data teams focusing on creating, publishing, and sharing data products in the next year, and 68% planning to implement a data marketplace, there’s no question that the shift toward leveraging internal marketplaces to maximize the value of data products is well underway. As with any data...
Like most data initiatives, data marketplaces are meant to deliver value. But unlike those other initiatives, data marketplaces have an edge – they increase the potential of the entire business by clearly defining the roles, rules, and capabilities that lead to success. To truly maximize the value that data marketplaces...
One of the most consistent challenges that we have seen when working with large global enterprises is a tendency to treat data catalogs and data marketplaces as the same objective, rather than separate ones. Conflating the two may also explain why data and analytical engineering teams, along with business users,...
Immuta CTO and Co-Founder Steve Touw sat down with Paul Rankin, Head of Data Management Platforms at Roche, and Sanjeev Mohan, Principal at SanjMo, for an in-depth discussion about data mesh architectures. Below is an edited transcript from a portion of their conversation. To listen to the full recording, click here. Steve Touw: This...
Before we can talk about modernizing from a legacy Business Intelligence (BI) extract, we need to answer the questions: why are they used? And what are they? The “why” behind extracts boils down to improved query performance on published dashboards. You can see more details about the “why” for data extracts in...
According to one 2025 report, 86% of companies claim that their organization is taking a multi-cloud approach to data storage and analysis. This means the data they collect lives in at least two different cloud databases, if not more. The data must be accessible to the variety of tools meant to...
For data engineers, the effort required to wrangle access policies grows exponentially as the complexity of data security increases. High table access segmentation necessitates managing a correspondingly large number of roles and grants. Data that is segmented down to the row level, for example, may require a series of transforms or view...
As cloud technology has become more advanced, data teams are better able to mitigate the risk of unauthorized access. In fact, the array of choices regarding how to protect data at times makes it confusing to know which is right for your organization’s data. When you’re trying to strike a...
There’s a lot of confusion in the market about attribute-based access control (ABAC) and what it actually is. This short blog will use a handy analogy to explain ABAC.
Data access control and governance are central tenets of a strong cloud data strategy. As demand for data grows, so do the number of platforms touting cutting edge access control management capabilities. The data governance landscape is rapidly evolving and data access control – a subset of the overall market...
The good news is no. The better news is you are already 90% of the way there and probably don’t even know it!
The role-based access control versus attribute-based access control debate has been going on for decades. Now, as organizations move away from on-prem and Hadoop-era technologies in favor of modern, cloud-based data environments, the differences between the two security approaches are coming into sharper view. A new study from GigaOm comparing the two approaches head-to-head,...
Would you like to monetize your internal data by sharing it externally with third parties? Do you see the power of joining your data with data from other organizations to drive stronger and better insights? The desire to share data with third parties is fueled by the realization that: The...
The terms role-based access control and attribute-based access control are well known, but not necessarily well understood — or well defined, for that matter. If attribute-based access control includes user roles, then what is role-based access control? Where is the line drawn? Fundamentally, these data access control terms — role-based access control and attribute-based access control...
The new Databricks Enterprise Cloud Service architecture provides powerful network security capabilities, however, a lesser known benefit is that it enables Data-as-a-Service.
“Over the past few years, data privacy has evolved from ‘nice to have’ to a business imperative and critical boardroom issue,” warns a Cisco benchmarking report. Security and privacy are colliding in the cloud and creating challenges like we’ve never seen before. This is particularly true for organizations making the move...
In the early days of data engineering, access was predictable. A handful of power users—engineers and analysts—pre-calculated dashboards for the masses. The permutations of “who can see what data” were limited, static, and typically managed ahead of time. Then came the “Chat with your Data” revolution. Today, LLM agents have...
The European Union’s General Data Protection Regulation — one of the most forward-leaning privacy regulations on the planet — was praised by Tim Cook in a recent speech in the EU because our personal data is “being weaponized against us with military efficiency.” Those are strong words, and frankly, accurate:...
Anti-patterns are behaviors that take bad problems and lead to even worse solutions. In the world of data governance, they’re everywhere. Today’s anti-pattern probably isn’t thought of as a “pattern” at all because it feels so obvious, and (on the surface) is too “easy” – you share data by giving...