Security for enterprise AI agents
Developed by Uber, ADR protects corporate AI agents with observability, security benchmarking and threat detection methods. The software offers a security framework developed to increase the security of artificial intelligence systems.
Updates
- August 6, 2026: Stars 782 → 1,123, latest release sensor-v1.0.0 (July 31, 2026).
What you get
- It monitors the actions taken by AI agents, allowing you to understand what they do and why they do it.
- Tests agent security with over 300 missions against 17 different attack techniques.
- It uses a two-stage architecture to detect suspicious sessions.
Installation
git clone https://github.com/uber/ADR
cd ADR/Detection
uv sync
export ANTHROPIC_API_KEY="..." OPENAI_API_KEY="..."If you don't write code
How can I protect my enterprise AI agents against vulnerabilities? How can I monitor agent activities, detect threats, and evaluate the defense power of my system by making security comparisons using the ADR system? Please explain the steps I need to follow in this process and how to configure the observability features that ADR offers.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-05: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.