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lghupan merged 3 commits into from
Aug 16, 2026
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docs: add ADR Discovery to the capability overview #40

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docs: add ADR Discovery to the capability overview
pengyuzhang Aug 11, 2026
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docs: list ADR Discovery first in the capability overview
pengyuzhang Aug 14, 2026
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Merge branch 'main' into docs/adr-discovery
lghupan Aug 16, 2026
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11 changes: 6 additions & 5 deletions README.md
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Expand Up @@ -6,12 +6,13 @@ ADR is **deployed in production at Uber**, and the accompanying paper was accept

## How ADR secures enterprise AI agents

ADR secures enterprise AI agents through four complementary capabilities: observing agent activity, evaluating defenses, detecting threats, and preventing unsafe actions.
ADR secures enterprise AI agents through five complementary capabilities: discovering unsanctioned AI tools, observing agent activity, evaluating defenses, detecting threats, and preventing unsafe actions.

1. **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.
2. **ADR Benchmark: Test agent security under realistic enterprise conditions.** ADR-Bench includes 300+ tasks, 133 MCP servers, and coverage of all 17 agent attack techniques.
3. **ADR Detection: Detect risky agent behavior efficiently.** Its two-tier architecture combines high-recall triage with deeper agentic reasoning for suspicious sessions.
4. **ADR Prevention: Stop unsafe actions before they cause harm.** This component is not included in the current open-source release. **Stay tuned.**
1. **ADR Discovery: Find the AI tools present on employee endpoints.** Inventories installed AI applications, CLI agents, local model runtimes, and MCP servers. This component is not included in the current open-source release. **Stay tuned.**
2. **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.
3. **ADR Benchmark: Test agent security under realistic enterprise conditions.** ADR-Bench includes 300+ tasks, 133 MCP servers, and coverage of all 17 agent attack techniques.
4. **ADR Detection: Detect risky agent behavior efficiently.** Its two-tier architecture combines high-recall triage with deeper agentic reasoning for suspicious sessions.
5. **ADR Prevention: Stop unsafe actions before they cause harm.** This component is not included in the current open-source release. **Stay tuned.**

## Repository layout

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