Arthur is an AI governance platform that unites security, finance, engineering, and product teams on a single control plane. It enables discovery of agents across OTEL, MCP, and cloud APIs, risk scoring, policy enforcement, prompt versioning, A/B testing on production data, and full-trace observability. The model-agnostic, framework-agnostic SaaS and hybrid platform helps enterprises ensure reliability, security, and compliance for both internal and third-party AI.
Arthur sits in PulseGate's LLM eval & observability category. Governing, securing, and monitoring AI agents and models at enterprise scale across security, compliance, and engineering teams. Arthur is a B2B product aimed at enterprise AI teams. Arthur is sold on an enterprise-only basis. It ships for the web and the command line, and it can be self-hosted.
Arthur builds and maintains Arthur, and it first shipped in 2025. The project is developed in the open on GitHub with 85 stars and 652 commits in the last 90 days. Key capabilities include Agent Discovery, Risk Scoring, and Policy Enforcement. It exposes integrations via a public API and an MCP server.
Summary written by a language model from the project’s public pages.
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