Capability
AI Trust Scoring
AI Trust Scoring consolidates model consensus, evidence grounding and policy signals into a calibrated, explainable trust assessment. It gives each output a defensible confidence level that downstream systems and people can act on.
Turn many verification signals into one calibrated trust decision.
Individual checks answer narrow questions; teams need a single, actionable verdict. AI Trust Scoring aggregates the signals produced across the verification layer, cross-model agreement, evidence grounding, policy conformance and contextual risk, into a calibrated assessment of how far a given output should be trusted.
Rather than a bare number, each score is explainable. The Proofence Engine records which signals lifted or lowered confidence so a reviewer can see why an output was treated as reliable or held back. This keeps scoring honest and inspectable instead of an opaque black box that simply issues verdicts.
Scores are designed to drive action. A high-confidence result can flow through automatically, a borderline one can route to human review, and a low-confidence output can be blocked or returned for revision. Thresholds are set per use case so the same scoring layer can serve both routine and high-stakes workflows.
Because scoring is calibrated against the strength of underlying evidence rather than a model’s own stated confidence, it stays meaningful as models and prompts change. It is the connective tissue of the trust orchestration layer, translating diverse checks into decisions the rest of the organization can rely on.
What it delivers
Signal aggregation
Consensus, grounding, policy and risk signals combine into one assessment instead of many disconnected checks.
Explainable scores
Each verdict records which factors raised or lowered confidence, keeping the assessment inspectable.
Action-ready thresholds
Per-use-case thresholds route outputs to automatic acceptance, human review or rejection.
Evidence-calibrated
Confidence reflects the strength of supporting evidence rather than a model’s self-reported certainty.
Bring verifiable trust to every AI decision.
Start in AtlasProof by Proofence, or talk to us about enterprise governance with AirTrustOS by Proofence.