Comparison

AgentShield vs Galileo

Galileo catches problems before deployment. AgentShield catches the ones you can't predict until production.

The Key Difference

Galileo is an AI quality evaluation platform focused on testing and scoring before deployment. AgentShield is a runtime governance platform that monitors agent behavior in production.

Galileo

  • Strong hallucination detection metrics
  • Research-backed evaluation framework
  • Good quality scoring for LLM outputs
  • Pre-deployment testing workflows
  • Evaluation-focused, not runtime monitoring
  • No real-time agent risk scoring
  • No approval workflows
  • No compliance reports
  • No cost tracking per agent

AgentShield

  • Runtime monitoring during agent execution
  • AI-powered risk analysis on every action
  • Human-in-the-loop approval workflows
  • EU AI Act compliance reports
  • Per-agent cost attribution + budgets
  • 57+ adversarial test scenarios
  • Catches issues in production, not just testing
  • Framework-agnostic SDK

Feature-by-Feature Comparison

Feature Galileo AgentShield
Evaluation
Hallucination Detectioncore feature~ via risk analysis
Quality Scoring
Pre-deployment Testing57+ adversarial tests
Runtime Monitoring
Real-Time Agent Monitoring
AI-Powered Risk Scoring
Agent Tracing with Spans
Real-Time Alerts
Governance
Human-in-the-Loop Approvals
Compliance Reports (EU AI Act)
Cost Budgets & Alerts

Can You Use Both?

Yes. Galileo is great for pre-deployment evaluation — making sure your LLM outputs meet quality thresholds before going live. AgentShield picks up where Galileo stops: monitoring what agents actually do in production, scoring risk in real-time, and enforcing governance.

Use Galileo to test before launch. Use AgentShield to stay safe after launch.

Ready to monitor agents in production?

Pre-deployment testing catches what you predict. Runtime monitoring catches what you can't.