What is Mirror Trust Layer?
Mirror Trust Layer is the real-time enforcement layer positioned between AI intelligence and real-world actions. It ensures AI behavior stays within defined boundaries, every decision can be explained after the fact, and AI can be safely deployed in regulated, high-stakes environments.
Think of it this way:
"If AI is the brain, Mirror Trust Layer is the nervous system that prevents dangerous reflexes."
Core Capabilities
Policy Enforcement
Apply regulatory, enterprise, and domain-specific constraints at decision boundaries in real time.
Risk Containment
Detect and contain risk signals — PII exposure, jailbreaks, drift, anomalous behavior — before they cause harm.
Runtime Governance
Execute allow / block / reroute / downgrade decisions based on configurable policy rules.
Evidence Generation
Automatically generate regulator-grade evidence trails for every governed decision.
What Mirror Trust Layer is NOT
Clarity on boundaries is essential for institutional deployments.
Design Principles That Make It Safe
No Philosophical Reasoning
The Trust Layer enforces rules. It does not debate, interpret, or reason about edge cases.
No Autonomous Learning
Policy changes require human approval. The system does not self-modify based on observations.
No Unapproved Policy Changes
Every policy update goes through explicit change control with full audit trails.
Ideal For
Financial Services
- Banks
- Insurance
- Asset Management
- Payment Providers
Government & Public Sector
- Regulatory Agencies
- Public Services
- Defense
- Healthcare
High-Stakes Enterprise
- Legal
- Pharmaceutical
- Critical Infrastructure