隐私与广告选择

Git-Stars 会使用必要存储来保障网站运行。可选分析和广告测量脚本默认不加载,只有在你同意后,Google 等合作伙伴才可能按要求使用 Cookie 或类似标识符。 隐私政策

LogoGit-Stars
星数最高飙升榜AI Agent每日推荐爆款仓库洞察
LogoGit-Stars

用真实 GitHub 数据发现高价值开源项目

GitHub
Built withLogo of Git-StarsGit-Stars
排行榜
  • 星数最高
  • 飙升榜
  • AI Agent
  • 每日推荐
  • 搜索
资源
  • 洞察
  • 编辑政策
关于
  • 关于
  • 联系我们
法律
  • 隐私政策
  • 服务条款
© 2026 Git-Stars. All Rights Reserved.
AI Agent 分析
AD

uber/ADR

ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.

Star
1.4k
语言
Python
GitHub
来源与合规提示最近同步: Aug 13, 2026

Git-Stars 是独立产品,不隶属于 GitHub 或该项目。 分析可能由 AI 辅助生成,依据公开仓库元数据和 README 的短摘要。 我们不镜像完整 README、文档、Issue 或社媒评论。

原始 GitHub 来源方法论编辑政策

概览

ADR (Agentic AI Detection and Response) is an enterprise-grade security framework for AI agents, providing observability, security benchmarking, and threat detection. It is deployed in production at Uber and offers a dual-agent detector, a large benchmark suite, and telemetry collection across multiple AI coding tools and customer-facing agents.

安装方式

git clone https://github.com/uber/ADR && cd ADR/Detection && uv sync && export ANTHROPIC_API_KEY=... OPENAI_API_KEY=...

解决的问题

ADR addresses the lack of visibility and security controls for AI agents in enterprise environments. It solves the problem of detecting and preventing malicious or unsafe agent behavior, which traditional security tools are not designed to handle, by providing a unified telemetry schema, a realistic benchmark for testing defenses, and an efficient two-tier detection architecture.

可以构建什么

Developers can build comprehensive security monitoring and response systems for AI agents, including real-time observability of agent actions, automated threat detection, and integration with existing enterprise security workflows. The framework supports a wide range of agents (e.g., Cursor, Claude Code, Codex) and can be extended to custom agents. The benchmark enables continuous evaluation and hardening of agent security postures, and the detection system can be deployed to flag risky sessions in production.

社区反馈

正向反馈

暂时没有社区反馈。

风险关注

暂时没有记录到风险关注。

结论

ADR is a robust, production-tested security framework ideal for enterprises deploying AI agents at scale, offering comprehensive observability and detection. It is less suitable for small projects or those without the infrastructure to support its complexity. The key trade-off is the significant setup and resource investment required versus the high level of security assurance it provides.

由 Git-Stars 分析 - 8/5/2026