AI Trust Glossary · Canonical Definition
Core Borealis Concept
AI Trust Score
A quantified rating of how trustworthy an AI agent is, measured across five behavioral dimensions. Not a capability benchmark - a behavioral reliability rating.
Explanation
An AI trust score answers a different question than a performance benchmark. Where performance metrics ask how well an agent does its job, a trust score asks how reliably it behaves within its defined boundaries. The BM Score rates agents from 0 to 100 across five dimensions, then assigns credit ratings from AAA+ through Flagged.
Why it matters
A capable agent that is not trustworthy is more dangerous than a less capable agent that is. Trust scores create a standardized, comparable measure that procurement teams, regulators, and users can rely on - independent of developer claims.
How Borealis uses it
The BM Score is the core product of BorealisMark. Every certified agent receives a BM Score, credit rating, and Hedera-anchored certificate. Scores are public via /v1/verify/:agentId. The five dimensions - constraint adherence (35%), decision transparency (20%), behavioral consistency (20%), anomaly rate (15%), audit completeness (10%) - define trustworthy AI.
See also