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.