shellgate vs ADR
shellgate: Shellgate acts as a secure gateway between AI agents and your infrastructure, ensuring agents never directly access sensitive credentials like API keys or SSH keys. It enforces granular access control, logs every request, and intercepts dangerous commands for human approval, significantly enhancing the security and audibility of AI agent operations.; 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
Securely connecting AI agents to external APIs without exposing real credentials.
- 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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