> For the complete documentation index, see [llms.txt](https://mana.gitbook.io/manadia/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mana.gitbook.io/manadia/cn/7.-an-quan-yu-ke-xin-jia-gou.md).

# 7. 安全与可信架构

安全与可信是 manadia 技术体系的重要组成部分。由于 manadia 涉及算力、模型、数据、Agent 执行和链上交互，系统必须在多个层面建立安全边界。

#### 7.1 模型安全

模型安全包括模型权重保护、参数保护、版本记录和访问控制。对于预测模型和第三方 Agent，核心策略和参数不应在执行过程中被随意复制。TEE、权限控制、模型哈希和版本存证可以共同提升模型安全性。

#### 7.2 数据安全

数据安全包括数据加密、数据源签名、访问权限、时间戳记录和数据使用范围控制。对于独家数据、付费数据和敏感因子，系统应避免明文暴露，并记录数据被哪些模型使用。

#### 7.3 Agent 执行安全

Agent 具备工具调用能力，因此必须限制权限。不同 Agent 应拥有不同工具权限、调用额度和执行边界。涉及钱包、交易、资金和链上操作的工具，需要更严格的权限与确认机制。

#### 7.4 审计与回放

审计系统应支持关键执行过程回放。回放不一定公开全部私有模型细节，但应能够验证模型版本、输入数据摘要、策略配置、执行时间和输出结果之间的一致性。

#### 7.5 风险边界

manadia 的可信任 AI 预测模型应明确技术边界。AI 预测不等于确定性结果，TEE 不等于收益保证，历史表现不等于未来收益。白皮书需要主动说明这些边界，这会增强技术可信度，而不是削弱项目价值。


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