Compare · Arthur AI

TapPass vs Arthur AI. Observing models, or governing agents.

Arthur AI monitors model performance, bias and explainability. TapPass governs AI agents at runtime, scanning and blocking in real time, before damage happens.

✓Free for one person · No credit card needed

Arthur AI · Model monitoring“How are our models behaving over time?”

Arthur AI observes model performance, detects bias and provides explainability.

performancebiasexplainability
TapPass · authority layer“May this agent do this, and can you prove it later?”

TapPass governs each interaction: what data an agent sends, which tools it calls, what the response contains. It observes, reports and blocks.

allowholdredactblockon the record
01An honest choice

When to choose Arthur AI. When to choose TapPass.

This comparison is about scope, not quality. Arthur AI does its job well. The question is which job you need done.

Choose Arthur AI whenYou need to understand model behaviour.
  • Model performance monitoring is a core need.
  • Bias and fairness monitoring matter most.
  • Observing and reporting on models over time is the job.
Choose TapPass whenYou need to stop the action, not report it.
  • An agent sending personal data must be blocked before the request reaches the model.
  • Agents call tools, and each call needs permission or a person.
  • You need a hash-chained record, cost budgets and EU headquarters.
02Side by side

TapPass and Arthur AI, capability by capability.

CapabilityTapPassArthur AI
Model performance monitoringPartly: Behavioural drift detectionYes: Core feature
Bias and fairness monitoringNo: Not the focusYes: Core feature
Runtime prompt governanceYes: Full runtime pipelinePartly: Arthur Shield (firewall)
PII detection and redactionYes: With tokenisationPartly: Via Shield
Data classificationYes: Multi-level, with routingNo: Not available
Tamper-evident audit trailYes: Cryptographically chainedPartly: Logging, not hash-chained
Tool and function call governanceYes: Permissions, scanning, zonesNo: Not available
Human approval gatesYes: Real-time workflowsNo: Not available
Cost tracking and budgetsYes: Per-agent enforcementNo: Not available
Session isolationYes: Taint trackingNo: Not available
EU AI Act complianceYes: Art. 9, 12, 13, 14Partly: Compliance reporting
Self-hostedYes: Docker and HelmYes: On-premises available
EU headquarteredYes: BelgiumNo: US based

Scroll the table sideways to see both products.

YesPartlyNot offered or not the focus

Based on public product information as we understood it when we wrote this page. Products change quickly: if something about Arthur AI is out of date, tell us and we will correct it.

03The difference

Monitoring and governance. Different jobs.

Arthur AIModel monitoring

Arthur AI observes model performance, detects bias and provides explainability. The focus is understanding how models behave over time.

TapPassInteraction governance

TapPass governs every interaction: what data the agent sends, what tools it calls, what the response contains. Real-time scanning, blocking and recording.

The differenceBlocking, not only observing

Arthur AI observes and reports. TapPass observes, reports and blocks: when an agent sends personal data, TapPass stops the request before it reaches the model.

04How they work together

Keep Arthur AI. Add the layer that decides.

Arthur AI tells you how your models perform. TapPass decides what your agents may do with them. If you already run Arthur AI, TapPass sits in front of it rather than replacing it.

Your agentsLangChain, CrewAI, MCP clients, your own code
TapPassDecides, holds for a person, records every callauthority layer
Arthur AIMonitors model performance and biasModel monitoring
Models and toolsOpenAI, Anthropic, Mistral, MCP servers
All comparisonsDetection APIs, libraries, monitoring and supply chain tools, next to TapPass.
Questions

TapPass and Arthur AI, in plain answers.

Something else on your mind? Talk to our team.

Do we have to choose between Arthur AI and TapPass?

No. Arthur AI monitors how models behave over time; TapPass governs what agents do on each call. If you already run Arthur AI, TapPass sits in front of it rather than replacing it.

Does TapPass monitor bias and fairness?

No, that is not its focus. TapPass detects behavioural drift in agents, such as shifts in classifications, cost and tool use, and blocks or holds individual calls.

What does TapPass do that monitoring cannot?

It acts before the call runs: redacting personal data, blocking a tool outside the agent’s job, or holding an action for a named person, and it records every decision on a hash-chained record.

How current is this comparison?

It reflects public product information about Arthur AI as we understood it when we wrote it. Products change quickly. If something here is out of date, tell us and we will correct it.

Monitoring tells you what happened. Governance prevents it.

Connect one agent and see every call TapPass would have held, stopped or routed elsewhere. Nothing is blocked while you learn.

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