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AI Agent Analysis
AD

uber/ADR

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

stars
1.4k
Language
Python
GitHub
Source and compliance noteLast synced: Aug 13, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy

Overview

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.

Installation

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

Problem solved

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.

What you can build

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.

Community sentiment

Positive

No community feedback yet.

Concerns

No concerns documented yet.

Bottom line

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.

Analyzed by Git-Stars - 8/5/2026