国广清科：隐私计算安全性持续提升，把握数据流动和安全发展的平衡点

2022年12月28日，隐私计算联盟发布了《隐私计算通信应用研究报告（2022年）》，报告表明，在技术发展方面，隐私计算的安全性持续提升，安全验证手段逐渐成熟，性能稳固增强，在部分场景中已经能够达到满足业务需求的程度。

The Privacy Computing Alliance published its "Research Report on Privacy Computing Communication Applications (2022)" on December 28, 2022, and it showed that, in terms of technological developments, privacy computing security keeps getting better, with security verification methods gradually maturing and performance steadily rising. In certain circumstances, it has already attained a level that satisfies business requirements.

隐私计算致力于实现“数据可用不可见，用途可控可计量”，使数据要素在安全流通和共享中创造出更大的价值。在数据流通过程中，经隐私计算加密后，使用方只能使用数据，而无法看到数据本身，即“数据可用不可见”，避免了数据泄露的问题；同时，隐私计算还可以控制数据的用途以及用量，做到数据“用途可控可计量”。隐私计算技术火热发展，应用开始逐渐落地。

By establishing "data availability without visibility, controllability, and measurability," privacy computing aims to increase the value of data pieces in safe exchange. Users may only access the data during the data flow process once it has been encrypted via privacy computing, achieving "data availability without visibility" and preventing the issue of data leakage. Privacy computing may also limit how much data is used and how it is used, giving "controllability and measurability of data usage." Privacy computing, a fast evolving technology, is progressively being incorporated into a variety of applications.

与此同时，隐私计算技术为应对个人隐私保护、数据安全隐患和数据孤岛等数据流通的关键难题提出了一种创新的解决思路，成为平衡数据利用与安全的重要路径之一。以隐私计算技术为依托，推动通信行业数据与其他行业共享赋能，可以在风险管控、营销分析、态势洞察等多个应用场景中提供数据安全共享计算的服务。

In the meanwhile, privacy computing technology has put forward an inventive response to important issues in data circulation, such as upholding individual privacy, assuring data security, and eliminating data silos, becoming one of the vital routes to strike a balance between data usage and security. With privacy computing technology as a base, it is possible to encourage data sharing and enablement between the telecommunications sector and other sectors, offering secure data sharing and computing services for a variety of applications, including risk management, advertising evaluation, and situational awareness.

基于隐私计算的应用平台已完全落地，做到了数据“可用不可见”“可算不可识”。国广清科自主研发的青稞隐私计算平台是国内首个结合低代码业务中台、云通讯能力的隐私计算全栈基础设施平台，专注于为跨域数据运用场景提供安全、互信、合规的隐私计算全栈技术能力。

With the entire implementation of the application platform based on privacy computing, the objectives of "data availability without visibility" and "data computation without identification" have been met. CRI TSING‘S  TECH  is the nation's first full-stack infrastructure platform for privacy computing and cloud connectivity. It focuses on delivering full-stack privacy computing technology capabilities that are safe, reliable, and compliant for cross-domain data application circumstances.

国广清科隐私计算平台具有四大优势：其一，它支持引入多样数据类型，其二，自主研发平台支持对接第三方引擎，其三，它支持多样的特征处理工具；其四，它具有全链路LCP，从数据处理、到特征计算到结果验证全可视化操作，保存历史版本，易于追查历史版本。

CRI TSING‘S  TECH has four key benefits: first, it supports the introduction of various data types; second, the independently developed platform supports the docking of third-party engines; third, it supports various feature processing tools; and fourth, it has a full-chain LCP, which enables visualized operations from data processing, feature computation to result verification, and sag detection.

随着隐私计算安全性的持续提升，国广清科将继续利用自身平台优势，时刻关注行业动态，推动隐私计算和更多领域的深度合作，赋能数据价值重新利用，充分发挥通信数据应用价值，助力各行业数字化发展实践。

CRI TSING‘S  TECH will continue to take advantage of its platform advantages, keep an eye on market trends, and encourage close collaboration between privacy computing and other fields, enabling the reutilization of data value, fully unleashing the value of communication data applications, and assisting digital development practice.