Ant Misec Releases Enterprise Trusted Intelligent Cloud Platform Misec One, Starts Targeted Invite-Only Testing

The release took place at a special forum themed "Confidential Computing Weaves Domains, Data Becomes Intelligence," co-hosted by Ant Misec and Alibaba Cloud. Built on confidential computing, Misec One connects cloud large models, agents and computing power. Enterprises can apply on demand for data, models and computing capacity, while the platform handles participant onboarding, permission management, confidential computing environment configuration and result delivery. According to the report, this reduces the work enterprises would otherwise need to do to connect and integrate these resources themselves.

Ant Misec President Liu Qianwei introduced three core capabilities of Misec One: cross-institution data collaboration, secure use of cloud AI, and continuous accumulation and reuse of business experience.

For cross-institution data collaboration, different institutions can carry out joint analysis, joint modeling and data processing for agreed purposes without delivering complete raw data to partners. Results can be reports, labels, models or data services directly callable by business systems. For cloud AI, enterprises can use business data, documents and knowledge bases in cloud large models and agent services. With confidential computing, data remains "usable but invisible" throughout AI processing: the model can use data for inference, but the cloud platform and model service providers cannot view, retain or misappropriate the original content, and the enterprise can control and audit the scope and flow of data use. For service accumulation, the platform turns verified data, rules, models and processes from long-term business into reusable services for later application and use. An example cited was a claims verification model built once that can continue serving similar business and reduce repeated implementation.

These services are delivered through three product capabilities, covering data governance, natural-language query, and analysis and modeling, which further support industry applications. The platform has connected to national data infrastructure and to cloud models, computing power and intelligence capabilities, according to Leiphone.

Ant Misec has participated in several data circulation infrastructure and industry projects. It built China's first confidential computing center and is building the Jiangxi provincial data aggregation and circulation infrastructure platform covering provincial, city and county levels. In healthcare, confidential computing technology has been used in a medical insurance plus commercial insurance settlement and clearing center, supporting medical insurance data in protected conditions for commercial insurance claim verification. It also provides trusted data circulation support for the National AI Application Pilot Base (Medical) in Zhejiang. In agriculture inclusive finance, Ant Misec, MYbank and the Big Data Development Center of the Ministry of Agriculture and Rural Affairs jointly built a confidential spatiotemporal computing platform to use agricultural data for credit assessment. Liu said these practices provided the basis for productizing Misec One.

The targeted testing mainly targets enterprises and institutions that need cross-institution data collaboration, use of sensitive data in cloud AI, and continuous operation of data services. Ant Misec said it will work with participants on business goals, data conditions and partner needs to advance platform access and scenario validation, according to Leiphone.