用于认知服务，ML工具和AI模型的超安全Azure架构。 [英] Ultra secure Azure Architecture for Cognitive Services, ML tools and AI models.
问题描述
目标
- 实时端到端语音翻译，
- 近实时视频分析
需要指导，以概述设计超级安全数据中心解决方案的不同方法。
必需：数据传输加密，静态数据加密，正在使用的数据加密，整个架构的审计报告和跟踪日志，集中管理共享服务，灾难恢复，
DDoS保护，（所有HIPAA隐私和安全要求应在100％的时间内由Azure架构满足）&有备用保护措施。
最初，数据准备&仅限密集型数据模型培训，通过评估确定不同模型的部署。
通过移动设备监控健康终端？随时随地部署模型？ （始终符合HIPAA标准）。
提出任何可能有助于概述我们可扩展，可靠，安全和可靠的问题的问题。智能解决方案我们期待学习。谢谢。
论坛中的其他用户可能会添加到您的讨论中。在此期间，您可以考虑在这些论坛中发布关于语音翻译/视频分析的问题，以便联系到特定的团队：
https://docs.microsoft .com / zh-CN / azure / cognitive-services / speech-service / support
https://stackoverflow.com/questions/ tagged / microsoft-cognitive
问候，
Jaya < /跨度>
Goals
- real time end-to-end speech translation,
- near real time video analysis
Guidance needed in outlining different approaches for designing a super secure data-centric solution.
Required : data transit encryption, encryption for data at rest, encryption for data in use, audit reports and tracking logs on entire architecture, centralized management with shared services, disaster recovery, DDoS Protection, (all HIPAA privacy & security requirements should be met by the Azure architecture 100% of the time) & have backup safeguards in place.
Initially, data prep & intensive data model training only, with deployment of different models determined by their evaluations.
Monitor health endpoints through mobile ? Deploy models on the go ? (HIPAA-compliant, always).
Ask any questions that may help outline our scalable, reliable, secure & intelligent solution. We look forward to learning. Thank you.
Hi,
Other users in the forum might be able to add to your discussion. In the interim, you could consider posting your question about Speech Translation/Video analysis in these forums to reach those specific teams:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/support
https://stackoverflow.com/questions/tagged/microsoft-cognitive
Regards,
Jaya
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