Governance & Trust Posture
SubstrateX is designed to make runtime AI behavior measurable without increasing risk, exposure, or dependency.
This posture is deliberate. It exists to support enterprise deployment, independent validation, and future governance -
without requiring privileged access or architectural entanglement.
Measurement Without Internal Access
FieldLock operates exclusively on output-derived telemetry.
No access to model weights
No access to training data
No access to hidden states or gradients
No proprietary internals required
This ensures the same measurement approach applies across open and closed models, vendors, and deployment environments.
Read-Only by Default
All validation engagements begin in non-interventional, read-only mode.
No control signals are injected
No generation behavior is altered
No policies or prompts are modified
Instrumentation observes inference behavior as it naturally unfolds.
Stabilization, if ever applied, is explicitly opt-in and separated from measurement.
No Model Modification During Validation
SubstrateX does not:
fine-tune models
adjust sampling parameters
modify prompts or agent logic
alter inference stacks
Validation is diagnostic, not corrective.
This preserves auditability and avoids confounding effects.
Customer Data Remains Customer Data
SubstrateX does not claim ownership of customer models, prompts, outputs, or logs.
Data remains within the customer’s control
Validation artifacts are generated per engagement
Retention and access boundaries are explicitly defined
No training or reuse of customer data occurs.
Portable and Auditable Measurements
Runtime stability assessments produce structured, model-agnostic artifacts.
These artifacts are:
comparable across runs and systems
reviewable by third parties
suitable for archival and governance workflows
The goal is evidence—not interpretation.
Replication Is Encouraged
Recursive Science measurement schemas and regime definitions are published.
Internal access is not required for replication
The burden of proof rests on invariant behavior, not proprietary internals
Independent validation is welcomed
Scientific credibility comes from reproducibility, not opacity.

