SCBE-AETHERMOORE Provisional Draft

Draft Abstract

A computer-implemented cryptographic governance system is disclosed for intent-aware key derivation and authorization in autonomous agent environments. The system combines a structured semantic seed and a high-entropy random seed to derive a master key using a cryptographic extractor, where the semantic seed is parsed into a domain-weight vector representing operational intent classes. The resulting key hierarchy is constrained by the domain-weight vector such that only role-compatible derivation paths are permitted. The system further maps runtime agent context into a hyperbolic manifold, computes a geometric distance from trusted anchors, and applies a superexponential scaling function H(d,R)=R^(d^2) to enforce dynamic verification cost and authorization barriers. Multi-tongue signature governance and deterministic audit records bind intent, derivation, and execution decisions into a single verifiable control plane. This architecture provides machine-enforceable separation between semantic intent, cryptographic material, and action authorization.

Draft Background Of The Invention

Existing key derivation and access-control systems generally treat entropy as undifferentiated randomness and model authorization as static policy checks or threshold signatures. In hierarchical deterministic key schemes, optional passphrases are typically unstructured and do not impose formal constraints on downstream key-space traversal. In agentic execution systems, anomaly scoring commonly detects drift after behavior emerges, but does not necessarily impose mathematically increasing execution cost as geometric deviation grows.

Distributed AI systems therefore face three practical gaps:

1. Lack of semantics-bound derivation: no deterministic way to bind intent classes to key-path eligibility at derivation time.
2. Weak geometric enforcement: distance-based risk scores are often advisory rather than cost-enforcing.
3. Fragmented evidence: signature checks, policy checks, and runtime decisions are not consistently bound into one deterministic audit artifact.

SCBE-AETHERMOORE addresses these gaps by coupling:

1. Dual-seed derivation where a structured visible seed defines a resonance/domain profile and a shadow seed provides high-entropy unpredictability.
2. Hyperbolic governance where distance from trusted anchors modulates required verification effort by H(d,R)=R^(d^2).
3. Multi-domain intent signatures and deterministic decision records that bind derivation, policy, and execution outputs.

This yields a cryptographic-governance pipeline in which intent is machine-readable, derivation permissions are mathematically constrained, and drift incurs rapidly increasing authorization friction.

Figure 1 Reference

Generated artifact set:

• artifacts/ip/harmonic_wall_figure1.csv
• artifacts/ip/harmonic_wall_figure1.svg
• artifacts/ip/harmonic_wall_figure1.json
• artifacts/ip/harmonic_wall_figure1.md

Generator:

• scripts/generate_harmonic_wall_figure.py

Claim Framing Notes (Drafting Aid)

• Describe Sacred Tongues as a configured orthogonal intent basis, not as narrative flavor.
• Emphasize machine effect: derivation-path restriction and runtime verification-cost escalation.
• Separate claims by mechanism:
  • semantic-constrained key derivation;
  • hyperbolic cost-scaling authorization barrier;
  • deterministic multi-signature decision ledger coupling.

Caution

This draft is technical drafting support, not legal advice. Final claims and filing language should be reviewed by a patent attorney.