THE BLACK BOX IS A LIABILITY
Accuracy is a false metric. The 95% Accuracy Myth is a liability; identifying the root cause of one model failure takes 4 weeks of forensic archaeology. Replayability is the only fiduciary currency.
Probability vs. Proof
Traditional AI forensics are a drain on resources. Identifying the root cause of a single model failure can take weeks of manual forensics. The Glass Box transforms this liability into a defensible asset.
The 3 Pillars of Proof
Turn inference into a provable audit trail. If any autonomous action cannot be replayed deterministically, it is not governed.
View Forensic Protocol →Every action must be anchored to a human-in-the-loop. Replace post-mortem guesswork with direct causal provenance.
Read Accountability Spec →Functional guardrails that interrupt, not just monitor. Institutionalized boundaries for autonomous scaling.
Download Playbook →The 7-Layer Engine
The Glass Box transforms LLMs from hidden risks into defensible business assets via a 7-layer runtime shim.
L6 — Causal Diagnostics
Root cause analysis cut from 4 weeks to 4 minutes. Real-time deterministic replay of any inference anomaly.
The Value Bento
Data Source: [GB-Benchmark-01] // Architecture of Proof // 2026 Audit
Provenance Protocol
Deploy the GB-001 shim at the runtime perimeter to unify inference observability.
VIEW UNIT ECONOMICS →Quantify your AI risk gap and establish a gold standard for fiduciary duty.
CALCULATE MATURITY SCORE →Affirmation