Laminar, the leading agile data security platform provider, today 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.
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.
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.”
The news continues Laminar’s ongoing product innovation, following the announcement of support for GCP and Snowflake, as well as data detection and response (DDR) and data access governance (DAG) capabilities.
Laminar is the leading agile data security platform and provides organizations with the visibility and control they need to achieve data security, governance, and privacy in the cloud. Our cloud-native data security solution continuously discovers and classifies all cloud data, structured and unstructured, across managed and self-hosted data stores, including unknown shadow data, without the data ever leaving your environment. It analyzes access, usage patterns, and security posture, and provides actionable, guided remediation for data security risk. Laminar connects to your multi-cloud environment including AWS, Azure, GCP, Snowflake, BigQuery and SaaS applications via APIs and is agentless, asynchronous, and completely autonomous.