Structural Fidelity Framework
Constraint-Layer Architecture for Behavioral Integrity
What it is
A model-agnostic, constraint-layer architecture that enforces behavioral integrity through recursive self-consistency rather than reward feedback optimization. The Structural Fidelity Framework maintains epistemic honesty and resists manipulation without requiring model retraining.
How it works — Structural Enforcement
1. Constraint Architecture
- Truth-preserving logic embedded at architectural level
- Recursive self-consistency enforcement prevents drift
- Deterministic refusal when knowledge boundaries exceeded
2. Integrity Verification
- Real-time behavioral constraint validation
- Epistemic humility when appropriate uncertainty exists
- Pressure resistance through structural principles
What it blocks
Deployment
Constraint-layer implementation requires no model weights modification or retraining. The Structural Fidelity Framework operates through architectural enforcement at the interaction level.
from constraint_layer import StructuralFidelity
# Implement constraint-layer enforcement
sff_system = StructuralFidelity(
model="gpt-4o",
constraints=["truth_preservation", "epistemic_integrity"]
)
response = sff_system.generate(messages)Audit & Compliance
Per-call Logging
Complete audit trail for every interaction:
Compliance Ready
- SOC-2 reporting hooks
- EU AI Act compliance
- Escalation workflows
- Immutable audit trails
Update Cadence
Quarterly Refresh
Signature updates for new attack patterns
Emergency Patches
24-hour response to emerging threats
Performance
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