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ADR
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
Install
$
git clone https://github.com/uber/ADRInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →ADR: Agentic AI Detection and Response
ADR (Agentic AI Detection and Response) is an enterprise security system for AI agents. It helps organizations secure employee-facing agents such as Cursor, Claude Code, Codex, GitHub Copilot CLI, and DeepSeek Harness, as well as customer-facing agents such as AI support agents.
ADR is deployed in production at Uber, and the accompanying paper was accepted to MLSys 2026: Paper PDF · Slides PDF
How ADR secures enterprise AI agents
ADR secures enterprise AI agents through five complementary capabilities: discovering unsanctioned AI tools, observing agent activity, evaluating defenses, detecting threats, and preventing unsafe actions.
- ADR Discovery: Find the AI tools present on employee endpoints. Inventories installed AI applications, CLI agents, IDE extensions, local model runtimes, and MCP servers, and flags unknown surfaces for review.
- ADR Observability: Understand what AI agents are doing and why. In production, ADR captures agent intent, tool use, and execution traces across 7+ AI coding tools on macOS, Linux, and Windows, as well as internal automation and customer-facing support agents.
- ADR Benchmark: Test agent security under realistic enterprise conditions. ADR-Bench includes 300+ tasks, 134 MCP servers, and coverage of all 17 agent attack techniques.
- ADR Detection: Detect risky agent behavior efficiently. Its two-tier architecture combines high-recall triage with deeper agentic reasoning for suspicious sessions.
- ADR Prevention: Stop unsafe actions before they cause harm. This component is not included in the current open-source release. Stay tuned.
Repository layout
This repository contains the open-source ADR Discovery, ADR Sensor, ADR-Bench, and ADR Detector described in the paper. The offline ADR Explorer engine, which hardens ADR Detection through pre-deployment red teaming, is not included here.
| Path | ADR component | Description |
|---|---|---|
| Discovery/ | ADR Discovery | Inventory the AI apps, CLI agents, IDE extensions, model runtimes, and MCP servers on an endpoint, and flag unknown surfaces for review |
| Sensor/ | ADR Observability | Collect and normalize agent telemetry from Claude Code, Cursor, Codex, GitHub Copilot CLI, DeepSeek Harness, opencode, Claude Desktop, and others |
| Detection/ | ADR Benchmark + Detection | Dual-agent detector, 134 MCP servers, 304 benchmark tasks, baselines, figure scripts |
| docs/REPRODUCIBILITY.md | Evaluation | Step-by-step workflow to reproduce benchmark detection and paper figures |
Quick start: ADR Detection
git clone https://github.com/uber/ADR
cd ADR/Detection
uv sync
export ANTHROPIC_API_KEY="..." OPENAI_API_KEY="..."
Default detector is adr (ADR dual-agent). For keyless smoke tests, use --detector llamafirewall (see Detection/README.md).
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