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Positioning, architecture, and product papers on AI execution governance and structural safety for autonomous systems. 关于 AI 执行治理与自主系统结构性安全的定位、架构与产品论文。
Positioning Paper定位论文
20262026From AI Assistants to Trusted Execution Infrastructure从 AI 助手到可信执行基础设施
Why enterprise AI requires governance, authorization, and execution control. The bottleneck to adoption is no longer model capability but the absence of a layer that turns governance into constraints an autonomous system cannot bypass at execution. PEA is that authorization layer. 为什么企业部署 AI 需要治理、授权与执行控制。瓶颈不再是模型能力,而是缺少一个把治理变成"执行那一刻无法绕过的约束"的层。PEA 就是这个授权层。
Read阅读 →RobotWarden · White PaperRobotWarden · 白皮书
Jun 20262026 年 6 月Securing the Power to Act守住动作的权力
Structural safety enforcement for autonomous physical systems — two orthogonal axes, the authority of an action and the physical-safety envelope of its execution, enforced on an adversarial decision layer with one governance spine. And why runtime assurance is not enough. 为自主物理系统做结构性安全强制——在被当作"对抗者"的决策层上,强制"动作的权力"与"执行的物理包络"两根正交的轴,并由一根统一治理脊兜底。以及为什么"运行时保障"还不够。
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