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Security & privacy
33 articlesFilter articles Security & privacy
Ideas to revisit
Security & privacy
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Google 让 Gboard 的联邦学习隐私可以被外部审计
Google 把 TEE、访问策略、远程证明、透明日志和可复现构建接成联邦学习的外部验证链,并已用于 Gboard 下一词预测。
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EmDash 1.0 separates plugin catalogs from publishing
EmDash 1.0 separates author identity, signed releases, plugin discovery, and runtime permissions. Installers verify records independently.
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Agents API browser auth keeps passwords out of model input
How Agents API separates site approval, login credentials, and screenshots, and why network access and site approval cannot replace action-level confirmation.
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OpenAI 给 Agents API 加了浏览器,密码不走模型上下文
拆解 Agents API 的网站访问审批、独立登录通道与截图输出边界:为什么能联网不等于已授权,站点批准也不能代替高影响动作确认。
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OpenShell enforces agent permissions outside the workload
NVIDIA OpenShell places sandbox, network, credential, and policy controls outside the agent workload, with a Supervisor enforcing permission boundaries.
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OpenShell:把 Agent 权限检查放到运行时外层
NVIDIA OpenShell 把 sandbox、网络、凭证和 policy 控制放在 Agent workload 外,由 Supervisor 执行真实权限边界。
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Keep review evidence separate from compacted agent context
Independent Codex Guardian history shows why generation context and review evidence need separate records, with provenance through resume and rollback.
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主 Agent 压缩上下文后,审查证据为什么要独立保存
从 Codex Guardian 历史独立保存出发,解释生成上下文与审查证据为什么不能共用一份压缩摘要,以及 resume、rollback 应如何保留来源。
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Company Brain separates team memory permissions
Company Brain scopes team-agent memory by room and user permissions, with personal authorization, traceable sources, and separate tool-write access.
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Company Brain:团队 Agent 的记忆权限该怎么拆
拆解 Company Brain 的团队记忆与权限设计,重点看个人授权、共享知识、可追溯来源和团队 Agent 的权限边界。
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Agent 已获网络权限,为什么连接途中还要继续检查
从 Codex 网络策略更新出发,解释 HTTP 重定向、长响应与 WebSocket 为什么需要可撤销许可,以及工具权限和网络权限为什么必须分层。
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Why agent network permissions need ongoing checks
Codex network policy changes explain revocable permits for redirects, long responses, and WebSockets, and why tool and network permissions need separate layers.
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GitHub Agentic Autofix starts retaining repair experience
GitHub Agentic Autofix reads and writes Copilot Memory. How security repair knowledge crosses agent workflows, and why verification, scope, and expiry matter.
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GitHub Agentic Autofix 开始积累修复记忆
GitHub Agentic Autofix 会读取并写入 Copilot Memory。本文拆解安全修复经验如何跨 Agent 复用,以及验证、范围和过期为什么重要。
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GitHub Security Lab makes fuzzing an agent feedback loop
GitHub Security Lab Fuzzing Taskflow uses coverage gaps to guide model decisions while deterministic tools execute, measure, and persist results.
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GitHub Security Lab 把 Fuzzing 做成 Agent 反馈环
拆解 GitHub Security Lab 的 Fuzzing Taskflow,模型根据 coverage 缺口决定下一轮,确定性工具继续负责执行、测量与持久化。
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Link CLI lets agents pay without real card numbers
Stripe Link CLI separates purchase intent from payment permission. Agents request a purchase and receive one-time credentials only after user approval.
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Link CLI 让 Agent 付款,但不拿真实卡号
Stripe Link CLI 让 Agent 先提交购买请求,用户确认后再获得本次支付需要的一次性凭证,把购买意图和支付权限分开。
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Why pinning a Git SHA can still run different code
Plugin4Shell exposes a supply-chain gap: a pinned SHA records the expected version, but installers must also verify the actual HEAD after checkout.
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固定 Git SHA 为什么还可能跑到别的代码
Plugin4Shell 暴露了一个供应链边界:固定 SHA 只写下期望版本,安装器还必须在 checkout 后验证真实 HEAD。本文结合 Git 文档、本地无害复现和 GitHub 分支限制解释机制。
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OpenCloak: replace personal data before sending it to AI
OpenCloak replaces names, emails, and other personal data with stable stand-ins locally, then restores them when the model responds.
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OpenCloak:发给 AI 之前,先在本地把个人信息换成假值
OpenCloak 在本地把姓名、邮箱等敏感字段替换成稳定假值,模型响应回来后再恢复,减少个人信息直接发送给 AI 服务。
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Anthropic opens internal processes to embedded evaluators
Anthropic and Accenture extend evaluation beyond model outputs to training, deployment, monitoring, and incident processes, with independence unresolved.
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Anthropic 让第三方 Eval 进入内部,模型评测开始看过程
Anthropic 与 Accenture 的 embedded evaluator 计划把评测范围从模型输出扩展到训练、部署、监控和事故流程,也暴露出独立性边界。
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Where agent credentials belong: host, vault, and broker
Where keys belong when coding agents call GitHub, databases, and cloud APIs, and how vaults and credential brokers define access boundaries.
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Agent 的生产密钥该放哪里?Host Boundary、Vault 与 Broker
解释 Coding Agent 调用 GitHub、数据库和云 API 时,应用密钥、执行器密钥和第三方凭据该放在哪里,以及 Vault 与 Credential Broker 的边界。
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Google packages Skills and MCP in one plugin
How the Google Cloud Developer Plugin packages Skills, MCP configuration, and rules, and what this means for distribution, versions, and permissions.
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Google 把 Skill 和 MCP 打成一个插件
拆解 Google Cloud Developer Plugin 如何把 Skill、MCP 配置和规则按 Agent Plugins 规范打包,暴露跨 Coding Agent 的分发、版本与权限问题。
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OpenCompany: version-controlled agent configuration
OpenCompany uses company.toml, agent teams, and human sign-off to put organizational structure and agent configuration into version-controlled files.
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OpenCompany:把公司写成可版本控制的 Agent 配置
OpenCompany 用 company.toml、Agent Team 和 Human Sign-off 把组织结构与 Agent 配置写成可版本控制文件,并明确保留人工签字点。
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Agentic search missed an incident. Test the eval too
The Anthropic incident review shows why automated monitors and LLM graders need coverage, independence, and tests for their own failure modes.
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Agentic Search 漏掉第四起事故,Eval 也要被测试
从 Anthropic Agentic Search 事故复盘看自动监控和 LLM grader 的漏检问题,说明 Agent Eval 也需要覆盖率、独立性和失效模式测试。
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Coding agent security is now a supply-chain problem
Coding agents read and execute skills, MCP tools, dependencies, and repository instructions. These need software supply-chain controls.
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AI Coding Agent 的安全问题已经进了供应链
说明 Coding Agent 会读取并执行 Skill、MCP、依赖和仓库指令,因此这些组件应按软件供应链治理,而不只是做 Prompt 安全。
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GitHub Agentic Workflows:把 Agent 装进 GitHub Actions
介绍 GitHub Agentic Workflows 如何把需要判断的自动化放进 GitHub Actions,同时保留权限、输出、审批和安全边界。
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GitHub Agentic Workflows: agents inside GitHub Actions
How GitHub Agentic Workflows puts judgment-based automation inside GitHub Actions while retaining permissions, controlled outputs, approval, and security.
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Sandbox isolation: boundaries, implementations, and practice
How sandboxes limit untrusted code access to files, processes, networks, and resources, comparing VMs, containers, user-space kernels, and syscall filters.
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