#secure data processing

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How to ensure secure data processing

The value and scale of data usage is being held back by security and regulatory concerns. Learn how secure data processing can help.

Data virtualization is the core technology that allows for fully compliant and secure data processing across expansive, spread out networks. A virtual representation of data is combined and processed securely according to the existing business rules. This creates an interoperable layer where analytics can be conducted on custom datasets, regardless of where the data is stored, eliminating the need for slow and costly data transfers.

The virtual environment allows secure data processing on sensitive data stored anywhere. When data is combined for querying, all operations take place in secure containers to minimize the chances of security breaches or data leakage.

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NFT copyright and security: Safeguarding digital assets in the era of Web3 – Intertrust Technologies

Understand the challenges of NFT copyright and security and discover new ways to mitigate the risks of illegal downloads, piracy and copyrig

These issues go beyond the violation of intellectual property rights and have strong financial repercussions. When NFT copyright content is stolen or pirated, the uniqueness and value associated with the assets are greatly degraded. This not only undermines the trust and confidence of NFT creators and collectors but also can result in substantial financial loss.

With a more thorough understanding of the current state of NFT security and potential solutions, market participants can better understand their options as they navigate the evolving landscape of digital assets while safeguarding the interests of creators and collectors alike.

[saksham2542]

How to ensure secure data processing

Organizations that wish to maximize the value from their data, comply with regulations, and minimize risk need to ensure secure data processing. Fortunately, Intertrust offers data management technology that not only improves security but also increases the speed of insight.

When data is combined for querying, all operations take place in secure containers to minimize the chances of security breaches or data leakage. By using data virtualization, organizations can maximize their return on investment in data functions and interact with other parties securely while maintaining regulatory compliance.

[saksham2542]

How to ensure secure data processing

Organizations that wish to maximize the value from their data, comply with regulations, and minimize risk need to ensure secure data processing. Fortunately, Intertrust offers data management technology that not only improves security but also increases the speed of insight.

A data virtualization platform can be added to your existing data architecture without altering your data storage functions, whether they are in the cloud, on-site, or a combination of both. A virtualized data layer offers secure data processing with comprehensive data governance and access control, letting administrators set permissions down to the row and column level.

This significantly reduces the risk of data breaches or leaks, even in situations with multiple collaborators. Additionally, a virtualized data platform creates a metadata repository to bring better data structure management and access auditing, as needed.

[saksham2542]

How to ensure secure data processing

Data virtualization is the core technology that allows for fully compliant and secure data processing across expansive, spread out networks. A virtual representation of data is combined and processed securely according to the existing business rules. This creates an interoperable layer where analytics can be conducted on custom datasets, regardless of where the data is stored, eliminating the need for slow and costly data transfers.

A data virtualization platform can be added to your existing data architecture without altering your data storage functions, whether they are in the cloud, on-site, or a combination of both at intertrust.com.

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Why data governance matters

With regulations like GDPR and the CCPA creating considerable rules on data usage, we look at the details and why data governance matters.

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Grid data sharing explained

Grid data sharing can deliver great efficiencies in how we create, supply and use energy but faces considerable barriers. Learn more.

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How to ensure secure data processing

The value and scale of data usage is being held back by security and regulatory concerns. Learn how secure data processing can help.