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Google DeepMind 发布 AlphaProof Code,四周内完成 Signal 加密核心的形式化验证

原标题:Google Deepmind's AlphaProof Code verified Signal's cryptographic core in four weeks instead of years

Google DeepMind 发布 AlphaProof Code,一个能数学化证明软件符合安全规格的 AI 系统。该系统在 Signal 加密协议上验证了实际运行在用户设备上的加密核心代码,基于 Gemini Carbon 的 AI 智能体四周内写下超过 600 万行 Lean 证明语言代码,标记约 1% 代码库供人工复核,并立即发现两个刻意植入的测试 bug。DeepMind 计划通过 CodeMender 等系统将方法扩展到电网和医疗设备。

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原文给出验证范围、代码规模和误报比例等细节,可帮助读者评估AI形式化验证在真实安全代码上的适用程度。

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原文

Manuel Uth

Nov 11, 2026

Google Deepmind has unveiled AlphaProof Code, an AI system that mathematically proves software meets its security specs without errors. Researchers demonstrated the technology on Signal's encryption protocol, completing in four weeks work that typically takes years. Earlier verification efforts stopped at the theoretical design stage, according to a blog post by DeepMind researchers Pushmeet Kohli and Swarat Chaudhuri. AlphaProof Code verified the actual cryptographic core code running on users' devices. After experts defined formal security requirements, AI agents built on Gemini Carbon wrote over six million lines in the Lean proof language, flagging roughly one percent of the codebase for human review. Two bugs planted deliberately for testing were caught immediately.

AI agents in AlphaProof Code help create the specifications and then independently prove that the program code meets them. | Image: Google Deepmind

Signal CTO Ehren Kret says the approach strengthens trust in data privacy as AI threats grow. DeepMind plans to extend the method to power grids and medical devices through systems like CodeMender.

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事件综述

DeepMind 发布 AlphaProof Code,四周完成 Signal 协议代码形式化验证

2026-11-10,Google DeepMind 发布 AlphaProof Code,一个由 Gemini Carbon 驱动的多 LLM 智能体形式化验证框架,宣布首次对 Signal 协议的实际生产代码完成关键安全属性的数学证明。官方称智能体生成了超过六百万行 Lean 证明代码,约 1% 代码需人工复核,整个项目耗时四周(DeepMind 博客称'一个月内完成')。团队还向隔离版本中重新引入两个已修复的真实漏洞,系统均给出机器检查的不安全证明;报道 6 称系统'立即发现两个刻意植入的测试 bug',与报道 1、2 的表述(重新引入已修复的真实 Bug 后证明其不安全)略有出入。验证规范与工件已开源。Ars Technica(11-11)指出,这项工作独立验证了 Signal 应用、Google Messages 和 WhatsApp 等平台所依赖的加密技术,Signal 系统每天保护数十亿条私人消息;但 AI 辅助形式化验证能否大规模用于保障大量代码安全仍不明确。The Decoder 报道称 DeepMind 计划通过 CodeMender 等系统将该方法扩展到电网和医疗设备领域。

其他来源的报道 4