As more capabilities become automated as part of cloud services, we find that our customers are reluctant to give up control over data security. The complexity of managing policies and granting access involves a degree of hands-on management, and customers want to own that responsibility. In the Gartner report, Predicts 2024: IAM and Data...
As organizations continue migrating data to the cloud, they often focus on the anticipated benefits: enhanced analytics, scalability, and data democratization, to name a few. With a results-driven focus, the challenges associated with this transformation can sometimes be overlooked. One such challenge is the need to maintain an access management framework that streamlines comprehensive...
According to the United States’ Cybersecurity & Infrastructure Security Agency (CISA), 47% of American adults have had some amount of their personal information exposed by cyber criminals. With the volume of data that today’s organizations collect, store, and leverage on a day-to-day basis, no one wants to be responsible for...
When it comes to making decisions, context is essential. Imagine your neighbor asks for a key to your house. If they’ve agreed to watch your dog while you’re away on an upcoming business trip, this question should present no issues or concerns. If they’re asking because they want to throw...
More organizations than ever are leveraging the power of multiple cloud data platforms for business-driving analytics. In fact, 93% of organizations have a multi-cloud strategy for analytics and data science, and 87% have a hybrid cloud strategy. In the next two years, the trend toward diverse cloud data ecosystems will continue, as more...
Today’s data engineering teams face various challenges wrangling massive volumes of data, dispersed stakeholders with competing priorities, and distributed data architectures. But of all these variables, which is the most taxing? In this blog, we’ll delve into the most common data engineering challenges as reported by 600 data engineers, and how...
Digital-first cloud data management is the future. A survey by the International Data Corporation (IDC) found that “90% of European organizations consider it crucial to have a digital-first strategy to achieve business value from more of their data.” However, only “32% of data available to enterprises is put to work.” This leaves...
As important as data analysis is to modern businesses, enforcing the proper access control on that data will always be paramount. This remains true as organizations in every industry continue migrating sensitive data to the cloud from legacy data storage systems. Regardless of which tools and platforms are used for storage and...
Data controls refer to the tactics, policies, and procedures that organizations use to meet their data governance and data management objectives. Put another way, they are the rules and systems that businesses rely on to ensure that only authorized users can access their data, ensuring its security and integrity. Data...
In daily conversation, we often use umbrella terms to simplify communication. For instance, if someone tells you they work for “the government,” you get a general understanding of what type of work they do without necessarily knowing their exact agency, office, or role. Categorization allows us to easily discuss a...
The world of data is full of interesting language, complex terms, and more acronyms than a bowl of alphabet soup. Being such a dynamic field, these terms are always being developed, adopted, and adapted to describe new and exciting advances. That said, it’s easy to feel out of the loop...
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...
Writing or modifying scripts, managing templates, or creating policy for cloud data platforms is historically a manual process. Assuming there is very little maintenance, doing this process once may be sufficient — but that assumption is never realistic. Complicating this further is the need to manually replicate this environment at...
Immuta was born out of the Intelligence Community in 2015 to help organizations solve the most complex data access control challenges. These challenges have only grown since that time as our dependency on sharing sensitive data across platforms and groups to support decision makers has increased. To meet the needs of this...
When we founded Immuta in 2015, the data landscape barely resembled what it is today. Then, organizations were focused on big data management and few were primarily cloud-based. Hiring for data scientists and analysts skyrocketed as leaders realized the value of data-driven insights, and DevOps was becoming a popular paradigm....
As companies started moving data to the cloud and separating compute and storage for added efficiency, cost savings, and flexibility, data platforms became more advanced and diverse, introducing new categories for best-of-breed technologies. With data engineering and operations teams now accelerating adoption of more than one cloud data platform, according...
Imagine this — You’re at the starting line of a road race. The gun goes off and the clock starts ticking. Runners take off — as you bend down to tie your shoes. You don’t have to be a runner to know that this tactic ends in your competitors leaving...
Immuta was founded in 2015 in response to the U.S. Intelligence Community’s (IC’s) complex and sensitive data governance problems, empowering organizations to harness the value of their data while preserving data privacy and security. Our data security platform enables data engineers and data stewards to automate the enforcement of data access, governance,...