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Uber Open Source avatar

ADR

Detection, telemetry, and benchmarking for securing enterprise AI agents

  • Privacy and security
  • Agent frameworks and tools
  • Security testing and OSINT
View on GitHub
Website

What it is

A security system from Uber for watching and defending AI agents used inside a company, from coding assistants like Claude Code and Cursor to customer support bots. It inventories AI tools and MCP servers on employee machines, collects normalized agent telemetry, and runs a two-tier detector that flags risky sessions such as prompt injection. It also ships ADR-Bench, a set of 300+ attack tasks across 134 MCP servers. Security teams and researchers use it to monitor agent activity and measure how well defenses hold up.

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Facts

Stars
2,069 GitHub stars.
2,069

Forks
245
Commits
168
Contributors
22
Language
Python
License
Apache-2.0
Last commit
Oct 16, 2026
On GitHub since
April 2026
First release
July 2026
Platforms
macOS, Windows, Linux, CLI
Self-hostable
No
Tags
  • coding-agent
  • mcp-server
  • agent-monitoring
  • monitoring
  • ai-security
  • llm-evaluation

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 21, 2026
  • Hacker NewsUber open-sourced its security monitoring for Claude Code, Cursor and CodexAug 6, 2026 · 3 points · 0 comments (opens Hacker News in a new tab)
  • Bluesky“ADR: An Agentic Detection System for Enterprise Agentic AI Security”Jun 14, 2026 · 0 likes · 0 replies (opens Bluesky in a new tab)