TaiHow Unveils 6S+1 Trusted Framework to Tackle Enterprise AI Translation Data Leakage Risks

Chinese translation company Chuanshen Yulian has launched the TaiHow 6S+1 commercial-grade trusted service framework to address persistent security and reliability concerns with AI translation tools. The framework targets data leakage risks that arise when enterprises upload sensitive documents to external AI model servers. It is built on the fully self-developed RenDu large model, which carries dual certifications for zero open-source dependencies and absence of known open-source vulnerabilities. Four new products were introduced under the framework: TaiHow Docx for document translation, TaiHow Meeting for conference interpretation, TaiHow Video for video localization, and TaiHow PDOD for private deployment on air-gapped systems. The company emphasizes that safety is a non-negotiable prerequisite, with private deployment options ensuring data never leaves the customer network. Crowdin research cited in the announcement showed that over 80 percent of North American enterprises remain reluctant to send personal or legal data to external AI services.

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Chuanshen Yulian, a long-standing player in the translation industry, has introduced the TaiHow 6S+1 trusted service framework to move AI translation from experimental use to secure commercial deployment. The announcement came during a Beijing event focused on secure language intelligence solutions.

Over the past year, enterprises have shifted their primary concern from whether AI can translate to whether AI translation is safe. Many organizations fear model hallucinations that alter original meaning, lack of domain expertise in specialized fields, and especially the risk of data exfiltration when source texts are sent to third-party model providers.

A Crowdin survey of North American companies found that approximately 95 percent already use AI or machine translation to some degree, yet one-fifth have experienced quality incidents. More than 80 percent of respondents said they consider personally identifiable information too sensitive to share with external AI systems, and 78.3 percent expressed similar concerns about legal and contractual documents.

The RenDu large model serves as the security foundation for the new framework. It is a fully indigenous model with no reliance on PyTorch or Transformer ecosystems and is the only large model in China to receive dual certification from the China Academy of Information and Communications Technology for zero open-source dependencies and no known open-source security vulnerabilities.

The 6S+1 framework covers six core capabilities: stable delivery with 99.9 percent availability, error rates below one per thousand, transparent per-character pricing, 15-minute human response times, open yet controlled API and MCP interfaces, and quarterly model updates. All capabilities are delivered alongside the option for full private deployment where model weights, terminology databases, and logs remain inside the customer network.

Four products were released under the framework. TaiHow Docx incorporates multiple domain-specific expert agents for terminology and style consistency in technical, medical, financial, and legal documents, with full audit trails. TaiHow Meeting supports real-time interpretation across more than 80 languages with speaker identification and sensitive-term filtering. TaiHow Video handles subtitle, dubbing, and lip-sync generation while preserving emotional tone and cultural nuance. TaiHow PDOD provides air-gapped, physically isolated deployment for highly sensitive engineering drawings and project files.

Company co-founder Shi Xin stated that the upper half of the AI translation race focused on speed and capability, while the next phase will be decided by trustworthiness. The 6S+1 framework is positioned as the concrete answer to enterprise questions about whether AI translation can be used safely.

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