SCBE-AETHERMOORE Audit Response Action Plan

Date: January 20, 2026 Source: USPTO Simulation, Code Review, Mathematical Proofs Audit Status: Action Required Priority: Critical

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Executive Summary

The comprehensive audit identified that while the mathematical foundations are valid, several issues require immediate attention:

1. Patent Claims: Physics metaphors triggering § 101 (Abstract Idea) and § 112 (Enablement) rejections
2. Architecture: Single points of failure and scalability limitations
3. Security: CI/CD gaps and secrets management
4. Documentation: “Intent detection” claims need scientific grounding

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1. Patent Strategy: De-Metaphysicize Claims

1.1 Rename “Time Dilation” → “Asymptotic Latency Throttling”

Problem: Claim 54’s “Acoustic Black Hole” with infinite time dilation (γ → ∞) is physically impossible for software.

Action: Rewrite as rate-limiting mechanism.

Before	After
“Acoustic Black Hole creates infinite time dilation”	“Asymptotic Latency Throttling where query latency L(n) scales super-exponentially”
γ → ∞ (physics metaphor)	L(n) = O(1.5^(d²)) where d = attack density

Implementation:

# OLD: Time dilation metaphor
def acoustic_black_hole(query):
    gamma = float('inf')  # Physically impossible
    return dilate_time(query, gamma)

# NEW: Asymptotic Latency Throttling
def asymptotic_latency_throttle(query, attack_density: float) -> float:
    """
    Rate-limiting where latency scales super-exponentially with attack density.
    L(d) = base_latency * 1.5^(d^2)
    """
    base_latency = 0.001  # 1ms
    return base_latency * (1.5 ** (attack_density ** 2))

File to Update: src/harmonic/scaling.py, PATENT_STRATEGY_ACTION_ITEMS.md

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1.2 Delete/Redefine “Entropy Export” → “Signal Attenuation”

Problem: Claim 57’s entropy export to “null-space” violates thermodynamics (Second Law).

Action: Redefine as noise injection for SNR maintenance.

Before	After
“Export entropy to null-space to bypass Second Law”	“Signal Attenuation via noise injection in unused spectrum channels”
Thermodynamic violation	Standard signal processing

Implementation:

# OLD: Entropy export (pseudoscience)
def export_entropy_to_null_space(signal):
    return violate_thermodynamics(signal)  # Impossible

# NEW: Signal Attenuation (valid engineering)
def signal_attenuation(active_channels: list, noise_floor: float) -> dict:
    """
    Inject calibrated noise into unused spectrum channels
    to maintain SNR in active channels.
    """
    unused = get_unused_channels(active_channels)
    for channel in unused:
        inject_noise(channel, noise_floor)
    return {"attenuated": len(unused), "snr_maintained": True}

File to Update: Patent claims document, technical specifications

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1.3 Human Microgeneration Patent Status

Previous Decision: Removed from patent strategy (prior art: kinetic energy harvesting at gyms)

Audit Note: On-sale bar concern if pilots are active.

Current Status: ✅ Already removed from PATENT_STRATEGY_ACTION_ITEMS.md - correct decision. No further action needed.

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2. Mathematical & Physics Refinement

2.1 Reframe “Intent Detection” → “Signal Complexity Analysis”

Problem: Claiming to detect psychological “intent” via jitter/shimmer is:

• Scientifically weak
• Vulnerable to deepfakes
• Not patentable under § 101

Action: Rebrand as liveness detection distinguishing signal types.

Before	After
“Detect malicious intent via Symphonic Cipher”	“Signal Complexity Verification distinguishing synthetic vs organic signals”
Psychological claim	Information-theoretic claim

Technical Basis:

def signal_complexity_analysis(signal: np.ndarray) -> dict:
    """
    Distinguish deterministic synthetic signals (low entropy)
    from stochastic organic signals (high entropy).

    NOT claiming to detect psychological intent.
    Claiming to measure signal complexity/entropy.
    """
    entropy = spectral_entropy(signal)
    complexity = kolmogorov_complexity_estimate(signal)

    return {
        "classification": "organic" if entropy > THRESHOLD else "synthetic",
        "entropy": entropy,
        "complexity": complexity,
        "confidence": calculate_confidence(entropy, complexity)
    }

Files to Update:

• src/symphonic/cipher.ts - Update comments
• docs/ - Rename “Intent Detection” references
• Patent claims - Reframe language

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2.2 Clarify Planetary Seeding Constants

Problem: Seeding RNGs with planetary frequencies provides no cryptographic advantage over arbitrary constants.

Action: Keep for branding, redefine technically as “Deterministic External Seed Sources.”

Before	After
“Planetary frequencies provide cosmic alignment”	“Deterministic External Seed Sources for reproducible initialization”
Mystical branding	Technical specification

Implementation:

# Planetary constants (kept for branding consistency)
PLANETARY_SEEDS = {
    "mercury": 0.240846,   # Orbital period ratio
    "venus": 0.615198,
    "earth": 1.0,
    "mars": 1.88082,
    # ... etc
}

# Technical specification (for patent/compliance)
"""
Deterministic External Seed Sources:
These constants are arbitrary but fixed values used for
reproducible PRNG initialization across distributed systems.
No cryptographic advantage is claimed over other constants.
Selected for aesthetic/branding consistency only.
"""

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3. Software Architecture Fixes

3.1 Remove continue-on-error: true from Security Scans

Problem: CI/CD passes builds despite critical vulnerabilities - security theater.

Action: Block builds on security failures.

File: .github/workflows/*.yml

# BEFORE (insecure)
- name: Security Scan
  run: npm audit
  continue-on-error: true # BAD: Allows vulnerable builds

# AFTER (secure)
- name: Security Scan
  run: npm audit --audit-level=critical
  continue-on-error: false # GOOD: Blocks vulnerable builds

Priority: HIGH - This is a critical security gap.

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3.2 Replace ProtonMail Bridge with Message Queue

Problem: Local email bridge is:

• Single point of failure
• Not horizontally scalable
• Bottleneck for agent orchestration

Action: Migrate to Redis/BullMQ or Kafka.

Current Architecture:

ProtonMail Bridge → Mail/Coordinator → Agents
      ↑
   (SPOF)

Target Architecture:

Ingest (any) → Redis/BullMQ → Agent Workers (N)
                    ↓
              Horizontal Scaling

Implementation Options:

Option	Pros	Cons
Redis + BullMQ	Simple, fast, good for <1M msgs/day	Single-node limit
Kafka	Unlimited scale, replay	Complex ops
AWS SQS	Managed, cheap	AWS lock-in

Recommendation: Start with Redis + BullMQ (already considering per audit). Migrate to Kafka if volume exceeds 1M msgs/day.

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3.3 Replace Notion with Dedicated Workflow Engine

Problem: Notion API limits (3 req/sec) unsuitable for mission-critical workflows.

Action: Use Temporal or Airflow for state management.

Current:

Agents → Notion API (3 req/sec limit) → State

Target:

Agents → Temporal/Airflow → State
              ↓
         Notion (reporting only)

Recommendation: Temporal for:

• Durable execution
• Automatic retries
• Workflow versioning
• Native TypeScript SDK

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4. Security Hardening

4.1 Implement Adaptive Dwell Duration (Security Gate)

Concept: Waiting room with exponentially increasing delays.

Implementation:

class SecurityGate:
    """
    Adaptive Dwell Duration for brute-force mitigation.

    CRITICAL: Calculate dwell time BEFORE heavy crypto
    to prevent resource exhaustion (DoS).
    """

    def __init__(self, base_dwell: float = 1.0):
        self.base_dwell = base_dwell
        self.attempt_counts = {}  # IP -> count

    def calculate_dwell(self, client_id: str) -> float:
        """
        τ_next = τ_current × 2 (exponential backoff)
        """
        attempts = self.attempt_counts.get(client_id, 0)
        return self.base_dwell * (2 ** attempts)

    async def process_request(self, request):
        # 1. Calculate dwell FIRST (cheap)
        dwell = self.calculate_dwell(request.client_id)

        # 2. Apply dwell (rate limiting)
        await asyncio.sleep(dwell)

        # 3. THEN do expensive crypto (only after dwell)
        result = await self.decrypt_and_verify(request)

        # 4. Update attempt count
        if not result.success:
            self.attempt_counts[request.client_id] = \
                self.attempt_counts.get(request.client_id, 0) + 1
        else:
            self.attempt_counts[request.client_id] = 0

        return result

Priority: HIGH - Prevents DoS via resource exhaustion.

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4.2 Centralize Secrets Management

Problem: Secrets in environment variables lack:

• Rotation policies
• Audit trails
• Access controls

Action: Migrate to centralized secrets manager.

Options:

Solution	Best For	Cost
HashiCorp Vault	Multi-cloud, on-prem	Self-hosted or \(\)
AWS Secrets Manager	AWS-native	$0.40/secret/month
1Password Connect	Small teams	$7.99/user/month

Recommendation: AWS Secrets Manager (already on AWS Lambda).

Implementation:

# BEFORE: Environment variables
import os
pqc_key = os.environ['PQC_PRIVATE_KEY']  # Static, no rotation

# AFTER: AWS Secrets Manager
import boto3
from botocore.exceptions import ClientError

def get_secret(secret_name: str) -> str:
    """Retrieve secret with automatic rotation support."""
    client = boto3.client('secretsmanager')
    response = client.get_secret_value(SecretId=secret_name)
    return response['SecretString']

pqc_key = get_secret('scbe/pqc/private-key')  # Rotatable, audited

Rotation Policy:

• PQC keys: 90 days
• API tokens: 30 days
• Database credentials: 7 days

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5. Documentation Updates

5.1 Symphonic Cipher Refactor

Files to Update:

• src/symphonic/cipher.ts
• docs/FULL_SYSTEM_ENABLEMENT.md
• .kiro/specs/symphonic-cipher/

Changes: | Find | Replace | |——|———| | “Intent Detection” | “Signal Complexity Verification” | | “Detect malicious intent” | “Classify signal origin (synthetic/organic)” | | “Psychological analysis” | “Entropy-based classification” |

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Action Item Summary

#	Action	Priority	Owner	Status
1	Rename Time Dilation → Asymptotic Latency Throttling	Critical	Patent	TODO
2	Delete/Redefine Entropy Export → Signal Attenuation	Critical	Patent	TODO
3	Reframe Intent Detection → Signal Complexity Analysis	High	Docs	TODO
4	Clarify Planetary Seeding as arbitrary constants	Medium	Docs	TODO
5	Remove continue-on-error: true from CI/CD	Critical	DevOps	TODO
6	Plan Redis/BullMQ migration	High	Arch	TODO
7	Evaluate Temporal for workflow	Medium	Arch	TODO
8	Implement Adaptive Dwell Duration	High	Security	TODO
9	Migrate to AWS Secrets Manager	High	Security	TODO
10	Update Symphonic Cipher docs	Medium	Docs	TODO

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Timeline Recommendation

Week 1: Items 1, 2, 5 (Critical patent and security fixes) Week 2: Items 3, 4, 10 (Documentation updates) Week 3-4: Items 6, 7, 8, 9 (Architecture improvements)

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Appendix: USPTO Rejection Summary

Claim	Issue	Rejection	Resolution
54	Acoustic Black Hole / Time Dilation	§ 101, § 112	Asymptotic Latency Throttling
57	Entropy Export to Null-Space	§ 101, § 112	Signal Attenuation
Intent Claims	Psychological detection	§ 101	Signal Complexity Analysis
Planetary Seeds	No crypto advantage	§ 112	Deterministic External Seeds

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This document should be reviewed by patent counsel before filing amendments.