Arthur

Founded by Adam Wenchel in 2019

Monitor, secure, and govern AI agents and models across enterprise environments

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Arthur to discover, monitor, and govern AI agents and language models across your cloud, on-premises, and endpoint environments. The system scans your infrastructure to find shadow AI agents, inspects step-level reasoning, and logs every tool call or data retrieval. You can enforce guardrails in real time to stop prompt injections and prevent sensitive data leaks. Arthur also tracks token spending by team or user, rerouting queries to cost-effective models to lower expenses while maintaining audit logs for compliance reviews.

What Arthur does

Discover shadow AI agents running on private data centers or endpointsInspect reasoning steps and tool execution histories of AI agentsBlock prompt injections and data leaks in real timeTrack token consumption and expenses broken down by teamForward security alerts directly to Datadog or SplunkGenerate compliance audit reports for AI agent deploymentsReroute complex queries to cheaper open-source modelsFinds unmanaged and shadow AI agents across endpoints and cloud environmentsInspects step-level reasoning, tool calls, and data retrievals for each agentBlocks prompt injection attacks and halts anomalous agent behavior in real timePrevents sensitive data egress and leaks during model interactionsRoutes non-critical prompts automatically to cheaper or internally hosted modelsSends real-time security alerts directly to Splunk, Datadog, and CrowdStrike FalconMaintains detailed audit logs and risk tracking for regulatory compliance