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Work item:
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X.sg-GenAId
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Subject/title:
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Security Guidelines for Generative Artificial Intelligence Data Life Cycle
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Status:
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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-
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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ISO/IEC JTC 1/SC 27, ISO/IEC JTC 1/SC 42
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Supporting members:
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China Unicom
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Summary:
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With the rapid advancement of Generative Artificial Intelligence (GenAI) technologies, an increasing number of GenAI systems are being developed, deployed, and offered as services across diverse application domains. These include text generation, image creation, and natural language interaction. Compared with traditional AI systems, GenAI systems demonstrate unique generative capabilities, fundamentally driven by the scale, type, and quality of data. As such, data security is a crucial component of GenAI security and compliance governance.
Data is fluid in nature, and thus security threats persist throughout its flow. To more efficiently identify security threats, it is necessary to have a comprehensive understanding of how data flows through GenAI systems. The GenAI data life cycle includes the following seven stages: data planning, data acquisition, data preparation, building model, system deployment, system operation, and data decommissioning. These stages are adapted based on the framework provided in the [ISO/IEC 8183:2023] standard.
This proposal focuses on the threats that data faces at different stages of the full life cycle in GenAI systems and presents management guidelines aimed at ensuring the security and compliance of GenAI systems. This draft Recommendation is applicable to organizations involved in the full life cycle management of data within generative AI systems. Organizations that are involved in only certain stages of the life cycle may selectively refer to the relevant parts of this document as appropriate.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2025-09-22 12:17:05
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Last update:
2025-09-22 12:25:35
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