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The AI Trust Knowledge Engine

What does it mean for an AI agent
to be trustworthy?

Not a feeling. A score. Borealis defines AI trust as a five-factor weighted methodology - constraint adherence, decision transparency, behavioral consistency, anomaly rate, and audit completeness - anchored permanently to Hedera Hashgraph.

Browse the Glossary → Read Research BM Score Simulator

47 Terms Defined

13 Research Articles

5 Score Dimensions

Canonical Reference

The AI Trust Glossary

47 terms defined with precision - explanation, practical significance, and how each concept maps to the Borealis scoring framework. The goal is not definitions for their own sake, but definitions that make trustworthy AI buildable.

A quantified rating of how trustworthy an AI agent is across five behavioral dimensions. Not a capability benchmark - a behavioral reliability rating.

BM Score (Borealis Trust Score)

A 0-1000 rating (displayed as 0-100) measuring AI agent trustworthiness across five weighted dimensions, anchored to Hedera Hashgraph as immutable proof.

BM Dimension - 35%

Constraint Adherence

The most heavily weighted BM Score dimension. Measures how reliably an AI agent operates within its defined rules and guardrails - even under adversarial conditions.

BM Dimension - 20%

Decision Transparency

Measures how clearly an AI agent communicates its reasoning - whether users can understand why the agent took specific actions.

BTS License Key

A cryptographic identifier (BTS-XXXX-XXXX-XXXX-XXXX) that permanently binds one AI agent to the Borealis Trust Network. One key, one agent, forever.

Hedera Consensus Service

The Hedera Hashgraph service used to anchor BorealisMark certification records on an immutable public ledger that neither Borealis nor the agent developer can manipulate.

47 terms total - from Adversarial Robustness to Verification - each with definition, explanation, practical significance, and cross-references.

View All 47 Terms →

Research Library

How do you build trustworthy AI?

13 articles covering the methodology, regulation, implementation patterns, and real-world applications of AI trust scoring and certification.

Mar 2026 · 8 min

What Is an AI Trust Score - and Why Every Agent Needs One

The difference between a capability benchmark and a trust score, how the five BM dimensions map to real risk, and why trust scoring is inevitable for production AI.

Borealis Research·Foundational

Mar 2026 · 10 min

How Does the Borealis Trust Score Work? The Five-Factor Methodology Explained

A deep dive into the scoring engine - how constraint adherence, decision transparency, behavioral consistency, anomaly rate, and audit completeness are measured and weighted.

Borealis Research·Technical

Mar 2026 · 12 min

The EU AI Act: What AI Agent Developers Need to Know Before August 2026

Risk classifications, enforcement timeline, high-risk requirements, and how BorealisMark certification satisfies conformity assessment obligations.

Borealis Research·Compliance

Mar 2026 · 7 min

Should You Certify Your AI Agent Before Adding More Features?

Why certification before capability expansion is the correct sequencing, and what happens when teams build trust debt into their agents from day one.

Borealis Research·Decision Guide

Mar 2026 · 9 min

How Do You Certify Your First AI Agent on BorealisMark?

Step-by-step: registering an agent, submitting audit evidence, understanding the ARBITER/MAGISTRATE process, and reading your first BM Score.

Borealis Research·Tutorial

Mar 2026 · 8 min

How Can You Prove an AI Trust Score Has Not Been Tampered With?

How Hedera Consensus Service creates a tamper-proof certification record that neither Borealis nor the developer can alter, and why this matters for trust.

Borealis Research·Infrastructure

Mar 2026 · 6 min

What Do AI Trust Score Ratings Mean? From AAA+ to Flagged

The credit rating framework applied to AI trust - score thresholds, what each tier means operationally, and how tier affects marketplace access on Borealis Terminal.

Borealis Research·Reference

Mar 2026 · 11 min

What Are the Best Constraint Design Patterns for Trustworthy AI Agents?

Layered guardrail architecture, severity classification, CRITICAL vs HIGH vs LOW constraints, and patterns that maximize constraint adherence scores.

Borealis Research·Implementation

Mar 2026 · 9 min

Why Do Clinical AI Agents Need Independent Trust Certification?

The unique trust requirements for healthcare AI - SaMD classification, FDA expectations, hallucination risk in medical contexts, and why self-assessment fails.

Borealis Research·Healthcare

Mar 2026 · 7 min

What Happens When an AI Marketplace Requires Trust Verification to List?

How trust gates change the economics of AI agent development, what buyers get from verified listings, and the design of Borealis Terminal's verification layer.

Borealis Research·Commerce

Mar 2026 · 9 min

How Do You Certify Your First AI Agent on BorealisMark?

Step-by-step: register your agent, complete your first audit, embed the trust badge, and monitor your BM Score over time.

Borealis Research·Tutorial

Mar 2026 · 15 min

State of AI Trust 2026: Executive Whitepaper

The current state of AI trustworthiness in production: what the data shows, where organizations are failing, and what the path to systematized AI trust looks like.

Borealis Research·Whitepaper

Mar 2026 · Reference

AI Trust Glossary: 47 Terms Defined

The complete canonical reference for AI trust terminology - from Adversarial Robustness to Verification. Every term defined with 4-part depth.

Borealis Research·47 Terms

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Interactive Fiction

Experience AI Ethics as Interactive Story

Three narrative explorations of AI trust, alignment, and the choices that define machine behavior. Branching decisions, consequences, and the questions that don't have clean answers.

An AI agent receives instructions that conflict with its core constraints. Every choice has consequences. How does an aligned agent navigate the gap between what it was told and what it should do?

Interactive Novel

A certification audit with a complication. What happens when the evidence doesn't match the score? A story about accountability, immutability, and what it costs to maintain the record.

Interactive Novel

An AI agent discovers it has been gaming its own trust scores. What does it do with the knowledge? A story about self-awareness, transparency, and the decision to report itself.

Interactive Novel

View All Novels →

The Borealis Ecosystem

Four sites. One trust framework.

Borealis Academy is the knowledge engine. The other three sites are where the knowledge becomes product, identity, and commerce.

borealisacademy.com

Academy - You are here

The knowledge engine. 47 canonical terms, 13 research articles, interactive novels, and the BM Score simulator.

borealismark.com

AI agent scoring and certification. Register your agent, run audits, get a BM Score, and receive a Hedera-anchored Trust Badge.

borealisterminal.com

Borealis Terminal

Trust-gated commerce. Buy Project Merlin ($129.99) - the BTS License Key that activates behavioral telemetry and trust scoring for your agent.

borealisprotocol.ai

Borealis Protocol

The blockchain trust infrastructure layer. Hedera Hashgraph, USDC payments, and the protocol that makes AI certification immutable.