Ross ROSS = Recommend OSS · open-source software intelligence for agents

uber/ADR

ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber. observed · 2026-08-28

github.com/uber/ADR · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

68/100

  • Activity 99
  • Release rhythm 63
  • Longevity 9

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 136
  • days_rel: 33
  • days_push: 7
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1501 stars · 136 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ADR (Agentic AI Detection and Response) is an open-source enterprise security framework for AI agents, providing endpoint discovery of AI tools, agent telemetry collection, a security benchmark (ADR-Bench), and two-tier threat detection for MCP-based agents. It is deployed in production at Uber and accompanies an MLSys 2026 paper.

Use cases

  • detect prompt injection and unsafe actions in AI coding agents
  • inventory AI apps and MCP servers on employee endpoints
  • collect telemetry from Claude Code, Cursor, and Codex
  • benchmark agent security against attack techniques
  • detect credential exposures by AI agents
  • secure enterprise AI support agents

When to choose

  • you need observability and threat detection for employee-facing AI agents
  • you want to benchmark MCP server and agent security
  • you run an enterprise security team adopting AI coding tools

When to avoid

  • you need the prevention component, which is not open-sourced
  • you need a lightweight consumer tool rather than enterprise deployment
  • you only need generic EDR without agent-aware telemetry

Facets

framework · maturity active

security monitoring benchmarking mcp agent-framework logging security large-language-models developer-tools monitoring windows python cross-platform agent-security prompt-injection llm-security threat-detection mcp-security ai-agent-observability security-benchmark edr ai-agents macos linux

6 sources

Member repositories

RepositoryRoleHealth v2
uber/ADRmain68

For agents

markdown · JSON · MCP: product_card(name="uber/ADR")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem