Runtime Stability Without Model Access

Runtime Stability Instrumentation - Without Model Access

Integration Principles

FieldLock is designed to integrate into production AI systems without altering how they work.

Four constraints govern every deployment:

  • No access to model internals
    No weights, gradients, hidden states, or training data

  • Read-only by default
    Measurement precedes any discussion of control

  • Provider-agnostic compatibility
    Works across closed APIs and open models

  • Minimal operational footprint
    No changes to your serving stack or workflows

These constraints are intentional.
They preserve scientific integrity, governance feasibility, and operational safety.

Supported Integration Modes

FieldLock supports multiple deployment patterns to match risk tolerance and environment constraints.

Inline Proxy Mode

  • Observes outputs as they are emitted

  • Suitable for agentic and long-horizon systems

  • Negligible latency impact (read-only capture)

Sidecar / Mirror Mode

  • Asynchronous mirroring of inference outputs

  • Zero impact on live traffic

  • Common in regulated or staged environments

Log Replay / Offline Mode

  • Ingests recorded inference logs

  • Enables forensic analysis and baseline comparison

  • Used for pilots, audits, and post-incident review

What FieldLock Reads

FieldLock ingests output-level telemetry only, such as:

  • token sequences

  • timing and sequencing information

  • turn and session boundaries

  • recursion and tool-call structure (when present)

It does not require:

  • prompt inspection for meaning

  • semantic labeling

  • task-specific tuning

What FieldLock Produces

FieldLock produces runtime stability artifacts, not model judgments.

1. Stability Signals

Continuous indicators derived from inference behavior over time.

2. Regime Classification

Each run is classified into canonical runtime regimes:

  • Stable

  • Transitional

  • Phase-Locked

  • Collapse

  • Recovery

These describe behavioral dynamics, not output quality.

3. ESL Reports

Portable, governance-ready artifacts that include:

  • regime timelines

  • instability events

  • lead-time to failure

  • risk tier classification

Reports can be exported in structured formats for:

  • audits

  • governance review

  • comparison across systems

Security & Compliance Posture

FieldLock is built for enterprise and regulated environments.

  • No exposure of model IP

  • No training data ingestion

  • No prompt retention by default

Deployment supports:

  • VPC and private cloud

  • on-prem and isolated environments

  • configurable data handling and retention policies

Compatibility

Because FieldLock operates on runtime behavior, not architecture, compatibility does not depend on model family.

It has been validated across:

  • closed API models

  • open-source deployments

  • non-transformer dynamical systems

This ensures long-term survivability as models evolve.

Why Output-Only Matters

Output-only integration is not a limitation.

It is what makes FieldLock:

  • portable across vendors

  • acceptable to regulators

  • deployable without negotiation over IP

  • resilient to future model changes

FieldLock measures motion, not machinery.

Operational Impact

  • No retraining required

  • No prompt changes required

  • No serving stack modification

  • Can be enabled or disabled without disruption

FieldLock integrates like observability — not like control.

Next Steps

Most organizations begin with:

🧭 Validation Pilot integration (2–4 weeks)