Laminar Adds SaaS and Deepens Data Warehouse Support for its Data Security Platform

With the launch of support for Microsoft SharePoint Online and Google BigQuery, customers can see and secure their organizations’ data across the entire digital landscape

Laminar, the leading agile data security platform provider, announced it has added Microsoft SharePoint Online and Google BigQuery to its existing support for Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Snowflake. The additions make the Laminar Data Security Platform the first and only cloud-native data security solution to support all major cloud service providers (CSPs), leading data warehouses, and common software-as-a-service (SaaS) applications used by today’s top enterprises.

AiThority Interview Insights: How to Get Started with Prompt Engineering in Generative AI Projects

“Data security is different, and more challenging in the cloud. Shadow data is everywhere and data security pros want to know where their sensitive data is, how it is accessed, used, and protected. Whether its structured, unstructured, managed, in SaaS, data warehouse, or embedded database”

The cloud’s limitless potential is rooted in the data that an organization has, and what they do with it. To power innovation, 94% of enterprises use cloud services and applications. Microsoft SharePoint is the third most popular enterprise application, with 65% of its users adopting the cloud version, SharePoint Online. Employees routinely collaborate on shared content, and developers work with it as well to automate business processes, track progress, and share information across departments or with partners.

Similarly, Google BigQuery is one of the top three data warehouse solutions. It is a powerful analytics platform that excels at processing and analyzing massive volumes of data quickly and efficiently. With its scalable architecture and advanced querying capabilities, BigQuery enables organizations to gain valuable insights from their data in real time, empowering data-driven decision-making and accelerating business growth.

Both solutions enable developers, data scientists, and other innovators to be creative and extract the maximum value from their operational data. For instance, business intelligence staff may use these tools to analyze customer purchase patterns or sales trends, while data scientists may look out for hidden associations within the data to inform new strategies. Unfortunately, these same activities also open organizations up to significant risk by generating unknown or “shadow” data — a top concern for 93% of data security and governance professionals.

Read More about AiThority Interview: AiThority Interview with Bill Patterson, EVP and General Manager, Applications at Salesforce

Data security needs to be agnostic to the infrastructure in which data resides. Security posture must also travel with the data, as it moves through the cloud and the related data warehouses and applications. By adding support for Microsoft SharePoint Online and Google BigQuery, customers using the Laminar Data Security Platform can now discover, classify, and secure data in even more environments. Thus, data security and governance teams can see and secure their organizations’ data consistently across the entire digital landscape.

“Data security is different, and more challenging in the cloud. Shadow data is everywhere and data security pros want to know where their sensitive data is, how it is accessed, used, and protected. Whether its structured, unstructured, managed, in SaaS, data warehouse, or embedded database” said Amit Shaked, CEO and Co-Founder, Laminar. “They are not experts in SaaS/PaaS/IaaS and certainly not individual data storage services. They want visibility into all their cloud data from a single source. Our continued support for the diversity of cloud environments, including now SaaS, means customers can have a unified, consistent approach to data security.”

 Latest AiThority Interview Insights : AiThority Interview with Michael Schmidt, Chief Technology Officer at DataRobot

 [To share your insights with us, please write to sghosh@martechseries.com]