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Data Security with Snowflake: Row Access, Masking, and Projection Policies

Cloudyard

Read Time: 5 Minute, 8 Second In a financial institution, sensitive information such as Customer Numbers , transaction details , and customer balances are often needed for internal analysis and reporting. However others can still use them for joins or aggregations but without viewing the data directly.

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Simplify Data Security For Sensitive Information With The Skyflow Data Privacy Vault

Data Engineering Podcast

The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems. Atlan is the metadata hub for your data ecosystem. Atlan is the metadata hub for your data ecosystem.

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Data security vs usability: you can have it all

Cloudera

Founded in good data governance, three fundamental steps ensure access to data is both secure and usable. . Quickly onboard data. Making new data available to end-users as fast as possible is challenging due to the time it takes to understand the information and identify the appropriate data access policies.

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Recognizing Organizations Leading the Way in Data Security & Governance

Cloudera

Judges were looking at how organizations tackled modeling & reduced business risk, prevented fraud, met regulatory compliance, established fully governed data marketplaces, and more. . This year, after careful consideration, two organizations stood out as leaders in data security and governance policies: Bank of the West and Telkomsel. .

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ThoughtSpot Sage: data security with large language models

ThoughtSpot

Looking more broadly, we’ll also describe the security process we follow during any application iteration or enhancement, so you can see the great lengths we take to keep your data secure. TLDR We use OpenAI hosted on Azure as a service. Azure OpenAI service is SOC 2 compliant.

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Snowflake Announces State-of-the-Art AI to Talk to your Data, Securely Customize LLMs and Streamline Model Operations

Snowflake

It also presents an opportunity to reimagine every customer and employee interaction with data to be done via conversational applications. These opportunities also come with challenges for data and AI teams, who must prioritize data security and privacy while rapidly deploying new use cases across the organization.

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SoftBank Selects Cloudera Data Platform to Leverage Customer Intelligence While Ensuring Data Security

Cloudera

With new revenue streams and more varied operational structures of business units, it was imperative for SoftBank to move to a scalable data platform, where they could have a reliable, single source of information. We believe these new data analysis capabilities will boost what we can offer to our customers.”