Preventive measures for securing Snowflake for risk professionals tasked with ensuring optimized data security and governance
The 2023 KPMG Cloud Transformation survey highlights a surge in cloud-based information technology (IT) workload adoption, driven by the need for efficient data management and analytics. Snowflake stands out in this landscape as a fully managed, cloud-native data platform, offering exceptional storage, processing, and analysis capabilities for vast volumes of data.
Due to its unique architecture, scalability, and compatibility with various data ecosystem tools, Snowflake is well-positioned as a choice solution for data-driven decision- making, ensuring secure and efficient infrastructure management. However, deploying Snowflake introduces specific risk considerations that organizations must address to safeguard their data ecosystem.
In this article, KPMG lists preventive measures for securing Snowflake for risk professionals tasked with ensuring optimized data security and governance.
Risk professionals play a key role in navigating the complexities of data security risks and challenges, such as knowing how data is ingested, stored, and secured in Snowflake—and how it is used. This in-depth analysis lists common questions, risks, and considerations that will help pinpoint where potential risks may lie and where controls should be put in place.
Avoiding an avalanche: Navigating Snowflake’s data security risks and challenges
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