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AI Glossary

Data Sovereignty

The principle that data is subject to the laws and governance of the jurisdiction where it is collected or processed.

TL;DR

  • —The principle that data is subject to the laws and governance of the jurisdiction where it is collected or processed.
  • —Understanding Data Sovereignty is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

Data sovereignty requires that data remains within specific geographic boundaries and complies with local regulations. For enterprise AI, this means ensuring AI queries and responses are processed in approved regions, model providers meet local data handling requirements, and cross-border data flows comply with regulations like GDPR, LGPD, and PDPA.

Related Terms

AI Governance

The framework of policies, processes, and controls that guide responsible AI development and usage within organizations.

Zero-Retention Policy

An architecture where no user conversation data is stored on servers, only existing in the user's browser.

Data Loss Prevention (DLP)

Technologies and practices that detect and prevent unauthorized transmission of sensitive data.

Compliance Framework

A structured set of guidelines and controls that ensure AI systems meet regulatory and organizational requirements.

Knowledge Hub

Glossary FAQs

Data Sovereignty is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage the principle that data is subject to the laws and governance of the jurisdiction where it is collected or processed.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Data Sovereignty through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like AI Governance and Zero-Retention Policy.

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