SCBE-AETHERMOORE Executive Summary

Prepared for: Financial Institution Review Date: January 2026 Company: SCBE-AETHERMOORE Technologies Patent: USPTO Provisional #63/961,403


1. Executive Overview

SCBE-AETHERMOORE is a quantum-resistant security framework designed specifically for AI agent governance. As organizations deploy autonomous AI agents to handle sensitive operations, there is an urgent need for security systems that can:

  • Authenticate AI agent identities cryptographically
  • Govern AI-to-AI communications in real-time
  • Protect against both classical and quantum computing attacks
  • Provide tamper-proof audit trails for compliance

This technology addresses a $47 billion market opportunity in AI security by 2028, with first-mover advantage in the AI agent governance space.


2. The Problem We Solve

Current Market Pain Points

Problem Impact Our Solution
AI agents lack identity verification Unauthorized access, data breaches Cryptographic agent authentication
No governance for AI-to-AI communication Rogue agent behavior, compliance failures 14-layer real-time risk assessment
Quantum computers will break current encryption Future data exposure Post-quantum cryptography (ML-KEM, ML-DSA)
No audit trail for AI decisions Regulatory non-compliance Tamper-proof sealed envelopes

Why Now?

  • 2024-2025: Explosion of AI agent deployments (ChatGPT plugins, AutoGPT, enterprise copilots)
  • 2026+: Enterprise AI agents handling financial transactions, healthcare data, legal documents
  • 2030: IBM projects quantum computers capable of breaking RSA-2048

Organizations deploying AI agents TODAY need security infrastructure that will remain secure for 10+ years.


3. Technology Overview

The 14-Layer SCBE Pipeline

Our proprietary 14-layer pipeline processes every AI agent interaction through multiple security checks:

Input Context → [14 Security Layers] → ALLOW / QUARANTINE / DENY
Layer Function Purpose
L1-L4 Vector Embedding Convert context to secure mathematical representation
L5-L7 Hyperbolic Geometry Detect anomalies using Poincaré ball mathematics
L8-L11 Coherence Analysis Measure behavioral patterns across time
L12-L13 Risk Decision Amplify risks and render governance decision
L14 Telemetry Real-time monitoring and audit

Post-Quantum Cryptography

We implement NIST-approved post-quantum algorithms:

  • ML-KEM-768: Key encapsulation (resistant to Shor’s algorithm)
  • ML-DSA-65: Digital signatures (resistant to quantum attacks)
  • AES-256-GCM: Symmetric encryption (quantum-safe at 256-bit)

Unique Differentiators

  1. Entropic Escape Velocity: Mathematical proof that keyspace expands faster than brute-force attacks
  2. Mars 0-RTT Protocol: Designed for 14-minute+ latency (space-grade security)
  3. Forward-Secure Ratchet: Compromise of one key doesn’t expose past/future communications
  4. Real-time Governance: Sub-millisecond ALLOW/QUARANTINE/DENY decisions

4. Development Status

Current Readiness Level

Metric Status
Codebase Production-ready TypeScript + Python
Test Coverage 715+ automated tests passing
Documentation Complete API docs, integration guides
CI/CD Automated build/test pipeline
Demo Fully functional proof-of-concept

Test Suite Breakdown

Category Tests Coverage
Hyperbolic Geometry ~180 Core mathematical operations
14-Layer Pipeline ~120 All security layers
Enterprise Compliance ~100 FIPS 140-3, SOC 2
Spectral Coherence ~80 Pattern detection
Network Security ~70 Routing, trust
Cryptography ~60 Encryption, signatures
Integration ~82 End-to-end workflows

Verified Capabilities

✓ Real-time governance decisions (ALLOW/QUARANTINE/DENY)
✓ Cryptographic envelope sealing and verification
✓ Multi-agent fleet orchestration
✓ WebSocket dashboard for monitoring
✓ REST API for integration
✓ Post-quantum algorithm support

5. Intellectual Property

Patent Status

Item Status
Provisional Patent USPTO #63/961,403
Filing Date 2024
Coverage 14-layer pipeline, entropic expansion, hyperbolic governance
Jurisdiction United States (PCT international filing eligible)

Trade Secrets

  • Specific mathematical formulas for layer weighting
  • Realm trust calibration algorithms
  • Fleet orchestration optimizations
  • Breathing transform parameters

All source code, documentation, and architecture designs are original works with full copyright protection.


6. Market Opportunity

Total Addressable Market (TAM)

Segment 2024 2028 (Projected)
AI Security Software $12B $47B
Enterprise AI Governance $3B $18B
Post-Quantum Security $500M $4B
Our Addressable Market $2B $12B

Sources: Gartner, Forrester, MarketsandMarkets

Target Customers

  1. Financial Services: Banks, trading firms, insurance (high-value transactions)
  2. Healthcare: HIPAA-compliant AI agents for patient data
  3. Government/Defense: Classified AI operations
  4. Enterprise Tech: Companies deploying AI copilots at scale
  5. Aerospace: Space missions requiring quantum-safe communications

Competitive Landscape

Competitor Focus Our Advantage
Darktrace Network AI We focus on AI-to-AI, not network traffic
CrowdStrike Endpoint security We’re agent-native, not retrofitted
Palo Alto Networks Cloud security We’re quantum-resistant by design
IBM Quantum Safe Quantum crypto We add governance + real-time decisions

Key Differentiator: No competitor offers combined AI agent governance + post-quantum cryptography + real-time risk assessment.


7. Business Model Options

Option A: Technology Licensing

License Type Price Point Target
R&D License $50K-150K/year Research institutions
Enterprise License $250K-500K/year Mid-market companies
Unlimited License $1M-3M/year Large enterprises

Projected Revenue (Year 1): $500K-1.5M

Option B: SaaS Platform

Tier Monthly Price Features
Starter $2,500/mo 100 agents, basic governance
Professional $10,000/mo 1,000 agents, full pipeline
Enterprise Custom Unlimited, dedicated support

Projected ARR (Year 3): $5M-15M

Option C: Acquisition/Strategic Exit

Acquirer Type Valuation Multiple Potential Value
Cybersecurity Vendor 8-15x revenue $8M-45M
Cloud Platform 10-20x revenue $10M-60M
Defense Contractor Strategic premium $20M-100M

8. Financial Projections

Development Investment to Date

Category Investment
R&D (Engineering) $150,000+
Patent Filing $15,000
Infrastructure $5,000
Total Investment $170,000+

Funding Requirements

Use of Funds Amount Purpose
Patent Prosecution $30,000 Convert provisional to full patent
Security Audit $50,000 Third-party penetration testing
Compliance Certification $40,000 SOC 2 Type II, FedRAMP prep
Sales/Marketing $80,000 Initial customer acquisition
Total Request $200,000  

Revenue Projections

Year Conservative Moderate Aggressive
Year 1 $200K $500K $1M
Year 2 $600K $1.5M $3M
Year 3 $1.5M $4M $10M

9. Team & Capabilities

Technical Capabilities Demonstrated

  • Advanced cryptographic implementation
  • Hyperbolic geometry mathematics
  • Real-time systems engineering
  • Enterprise software architecture
  • Comprehensive test-driven development

Advisory Needs

Seeking advisors in:

  • Cybersecurity sales (enterprise)
  • Defense/government contracting
  • Patent monetization
  • Venture capital relationships

10. Risk Factors

Risk Mitigation
Technology adoption Strong demo, clear ROI metrics
Competition Patent protection, first-mover advantage
Regulatory changes Designed for compliance (FIPS, SOC 2)
Quantum timeline uncertainty Valuable TODAY for AI governance

11. Summary

SCBE-AETHERMOORE represents a unique opportunity in the emerging AI security market:

  1. Proven Technology: 715+ tests, production-ready code
  2. Patent Protection: USPTO #63/961,403
  3. Market Timing: AI agent explosion creates urgent demand
  4. Quantum-Ready: Protected against future threats
  5. Multiple Exit Paths: License, SaaS, or acquisition

Investment Request: $200,000 for patent prosecution, security certification, and initial market entry.

Projected ROI: 5-15x over 3-5 years through licensing, SaaS revenue, or strategic exit.


Appendices

A. Technical Documentation

  • See: /docs/ directory
  • See: STRUCTURE.md for architecture
  • See: INSTRUCTIONS.md for integration

B. Demo Access

git clone https://github.com/ISDanDavis2/scbe-aethermoore-demo.git
cd scbe-aethermoore-demo
npm install && npm test
python demo_memory_shard.py

C. Contact

  • GitHub: https://github.com/ISDanDavis2/scbe-aethermoore-demo
  • Patent: USPTO #63/961,403

This document is confidential and intended for financial institution review only.

Last Updated: January 2026


© 2026 Aethermoore - Issac Davis, Founder | Patent Pending (63/961,403) | Products | Demo

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