agentshield vs ADR
agentshield: AgentShield is an offline, high-performance Rust security engine designed to detect risky behaviors in AI agent extensions and MCP servers before deployment. It identifies vulnerabilities like command injection, credential exfiltration, and prompt injection across various AI frameworks.; ADR: ADR (Agentic Detection and Response) is an open-source framework designed to secure AI agents utilizing the Model Context Protocol (MCP). It comprises an ADR Sensor for telemetry collection and an ADR Detector, which serves as a dual-agent benchmark and detection system.
TL;DR
Scan AI agent extensions and tool repositories (e.g., for Claude Desktop, OpenAI Agents SDK) before deployment or integration.
- You research detection for MCP-based agents and want to reproduce the MLSys 2026 ADR paper.
- You want a benchmark: ADR-Bench has 133 MCP servers and 303 tasks with baselines.
- You want to collect telemetry from Claude Code, Cursor and Codex into one schema with the sensor.
- You want a packaged product to deploy: this is research code for a paper.
- You want the ADR Explorer red-teaming engine: the README says it is not included.
- You cannot pay for Anthropic and OpenAI API calls: the default detector needs both.
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