AI observability / monitoring
Fiddler, Arthur
Telemetry and alerts on models in production.
Stops the decision (not just watches it); lending-specific; examiner evidence.
Observe vs. enforce.
Most AI-governance tools watch. Sentinel stops.
Observability tells you a bad decision happened. A registry documents that a model exists. Sentinel is a decision gate in the path of execution — it returns APPROVE, BLOCK, FLAG, or ESCALATE before the agent acts, so every lending decision is examiner-defensible.
Not observability. Not a registry. Enforcement — before execution.
Category
Examples
What they do
What Sentinel does that they don’t
AI governance registry / GRC
Credo AI, Holistic AI, OneTrust, IBM
Model inventory, policy, risk reports, lifecycle.
Enforces at runtime (not just documents); built for the lending exam.
Sentinel
—
Inline decision gate: APPROVE / BLOCK / FLAG / ESCALATE before execution.
The enforcement + lending + examiner-evidence wedge none of them own.
Observability and registries are real and useful — but they sit beside the decision, not in front of it. Sentinel is the only layer that blocks the wrong AI lending decision before it executes and hands an examiner the evidence trail that proves it.
Get Started
Put a control plane in front of your AI agents.
Start with a governed demo, or see the full 11-stage decision pipeline on the home page.