Expired80% confidenceFactTime unknown
Data security strategies of mainstream AI programming tools include offering private deployment versions, committing not to use user code for model training, and providing Data Processing Agreements (DPA).
1
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
Valid until: 8/29/2026(expired)
Sources
Related Entities
Related Claims
Unverified企业采购AI基础设施工具时会重点审查数据是否用于模型训练、是否支持私有化部署以及数据加密标准76% similarUnverifiedThe free-tier terms of most AI service providers reserve the right to use user input data for model training, whereas enterprise editions typically offer a commitment that data will not be used for training.75% similarUnverified多数AI编程工具提供数据上传开关或企业版数据隔离方案75% similarUnverified开发者应在合同层面要求 AI 提供商提供「数据不用于训练」的书面承诺，并在隐私政策中列出所有第三方 AI 服务商名称及数据处理地区74% similarUnverifiedIn trade secret determinations in the AI field, model architecture may be protected by copyright, while training methods, data recipes, hyperparameter tuning strategies, and proprietary evaluation benchmarks are typically protected as trade secrets.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/4578API
curl https://kongchang.com/api/v1/knowledge/claims/4578MCP
get_claim(id=4578)