vs Arthur AI
TapPass vs Arthur AI
Arthur AI monitors model performance, bias, and explainability. TapPass governs AI agents at runtime, scanning and blocking in real-time before damage happens.
Feature comparison
TapPass vs Arthur AI
| Capability | TapPass | Arthur AI |
|---|---|---|
| Model performance monitoring | ◐ Behavioural drift detection | ✓ Core feature |
| Bias & fairness monitoring | ✗ Not the focus | ✓ Core feature |
| Runtime prompt governance | ✓ Comprehensive runtime pipeline | ◐ Arthur Shield (firewall) |
| PII detection & redaction | ✓ Comprehensive, with tokenisation | ◐ Via Shield |
| Data classification | ✓ Multi-level with routing | ✗ Not available |
| Tamper-evident audit trail | ✓ Cryptographically chained | ◐ Logging (not hash-chained) |
| Tool / function call governance | ✓ Permissions, scanning, zones | ✗ Not available |
| Human approval gates | ✓ Real-time workflows | ✗ Not available |
| Cost tracking & budgets | ✓ Per-agent enforcement | ✗ Not available |
| Session isolation | ✓ Taint tracking | ✗ Not available |
| EU AI Act compliance | ✓ Art. 9, 12, 13, 14 | ◐ Compliance reporting |
| Self-hosted | ✓ Docker + Helm | ✓ On-premise available |
| EU-headquartered | ✓ Belgium 🇧🇪 | ✗ US-based |
The difference
Monitoring vs. governance
Arthur AI: model monitoring
Arthur AI observes model performance, detects bias, provides explainability. The focus is understanding how models behave over time.
TapPass: interaction governance
TapPass governs every interaction. What data the agent sends, what tools it calls, what the response contains. Real-time scanning, blocking, auditing.
Blocking vs. observing
Arthur AI observes and reports. TapPass observes, reports, and blocks. When an agent sends PII, TapPass blocks the request before it reaches the model.
Private beta
Monitoring tells you what happened. Governance prevents it.
Real-time blocking. PII protection. Audit trails. EU compliance.