安全防护体系　围绕企业实际使用 AI 的关键环节，建立清晰、可控、可持续维护的安全防护体系。

Security protection framework　A clear, controlled and maintainable security framework for the way your organisation actually uses AI.

多层网络安全防护　采用云端防火墙、安全组、访问控制及异常流量监测，对服务器端口及网络访问进行严格控制。

Multi-layer network protection　Cloud firewalls, security groups, access controls and abnormal-traffic monitoring help control server ports and network access.

账号认证与权限隔离　根据企业、用户及角色分配数据与功能访问权限，不同企业之间的数据相互隔离。

Identity and access isolation　Identity and permission controls assign data and feature access by organisation, user and role while keeping tenant data isolated.

数据加密与防泄露保护　采用 HTTPS 加密通信，并对密码、API Key、Token 等敏感信息进行安全存储和访问控制。

Encryption and data-loss protection　HTTPS protects communications, while passwords, API keys and tokens are securely stored and access-controlled.

病毒与攻击监测防护　针对恶意文件、异常登录、恶意请求、SQL 注入、XSS、WebShell 等威胁建立防护和监测机制。

Threat monitoring and defence　Defences and monitoring address malicious files, abnormal logins, malicious requests, SQL injection, XSS and WebShell threats.

安全不是上线后的补救，而是企业 AI 系统设计、部署与运营中的基础能力。

Security is not an afterthought. It is a foundational capability across the design, deployment and operation of enterprise AI.