All Comparisons
Vienna OS vs Arthur AI
Monitoring tells you something went wrong. Execution control prevents it from happening.
Vienna OS
Execution Control
Agent wants to deploy to production → Vienna checks risk tier → requires SRE approval → issues cryptographic warrant → allows execution → logs audit trail
Bad action never happens
Arthur AI
Model Monitoring
Model makes predictions → Arthur analyzes outputs → detects drift or bias → sends alert to team → team investigates and remediates
Bad action detected after the fact
Core Function
Controls what AI agents can do
Monitors how AI models perform
Primary Use Case
Prevent unauthorized agent actions
Detect model drift and bias
Approach
Pre-execution control (prevent)
Post-execution monitoring (detect)
Agent Support
LangChain, CrewAI, AutoGen, custom
Model-level (not agent-specific)
Authorization
Cryptographic warrants required
No execution authorization
Risk Assessment
4-tier risk classification per action
Model-level risk scoring
Human Approval
Built-in multi-party approval chains
Alert-based (humans review after)
Audit Trail
Immutable, warrant-linked, compliance-ready
Monitoring logs and dashboards
Compliance
SOC 2, HIPAA, SOX, EU AI Act reports
Fairness and bias reporting
Deployment
Self-hosted or cloud
Cloud platform
Pricing
Free tier + $49-99/mo
Enterprise pricing (custom)
Better together
Use Arthur AI to monitor model quality and detect drift. Use Vienna OS to control what agents do with those model outputs. Monitoring + control = complete AI governance.