Arize AI observes.
Runback re-executes.
Arize is a mature ML monitoring platform with drift detection and model performance tracking. It's ML observability, not agent governance — no re-execution, no policy enforcement, no regulatory compliance mappings.
| Capability | Arize AI | Runback | Note |
|---|---|---|---|
| Model performance and drift monitoring | ✓ | ✗ | Arize speciality |
| Embeddings and vector analysis | ✓ | ✗ | Arize speciality |
| LLM trace capture | ✓ | ✓ | |
| Re-execute any agent step from captured inputs | ✗ | ✓ | |
| Live policy enforcement — block before it runs | ✗ | ✓ | |
| CI release gate for model upgrades | ✗ | ✓ | |
| Signed, tamper-evident audit export | ✗ | ✓ | |
| Self-host, data in your perimeter | partial | ✓ | |
| Regulatory mappings (EU AI Act · CPS 230 · NIST) | ✗ | ✓ |
Most teams use both — Arize AIfor day-to-day trace browsing, Runback for incident replay, CI gating, and the compliance artifact. The two don't overlap until the moment an agent misbehaves in production and someone asks you to prove it.
Try the replay on a real incident.
No signup. Walk a failing production run step by step and see what the model saw.