Governance of data, compliance, and business privacy matters, particularly for healthcare and finance businesses. Since the recent emergence of AI enterprise AI assistants enhancing business productivity, safeguarding private data and compliance is now a priority. With the implementation of AI assistants across the enterprise, the zero data retention can be achieved by implementing zero data retention policies by Large Language Model businesses like Open AI and Anthropic and Meta. In this work, we explore zero data retention policies for the Enterprise apps of large language models (LLMs). Our key contribution is defining the architectural, compliance, and usability trade-offs of such systems in parallel. In this research work, we examine the development of commercial AI assistants with two industry leaders and market titans in this arena - Salesforce and Microsoft. Both of these companies used distinct technical architecture to support zero data retention policies. Salesforce AgentForce and Microsoft Copilot are among the leading AI assistants providing much-needed push to business productivity in customer care. The purpose of this paper is to analyze the technical architecture and deployment of zero data retention policy by consuming applications as well as big language models service providers like Open Ai, Anthropic, and Meta.

翻译：数据治理、合规性及商业隐私问题，特别是对于医疗和金融行业至关重要。随着近期提升企业生产力的AI助手兴起，保护私有数据与合规性已成为优先事项。通过在企业中部署AI助手，并借助OpenAI、Anthropic和Meta等大语言模型企业实施零数据保留政策，可实现零数据保留。本研究探讨了大语言模型企业级应用的零数据保留策略。我们的核心贡献在于同时界定了此类系统在架构、合规性和可用性方面的权衡。本研究通过考察该领域两大行业领导者与市场巨头——Salesforce和微软的商业AI助手发展路径展开分析。两家公司采用截然不同的技术架构来支持零数据保留政策。Salesforce AgentForce和Microsoft Copilot作为领先的AI助手，在客户服务领域为企业生产力提供了重要推动力。本文旨在通过分析消费级应用及OpenAI、Anthropic、Meta等大型语言模型服务提供商的技术架构与部署方案，深入解析零数据保留策略的实施机制。