Patent Filing: Volitional Coherence-Based Cybersecurity Framework ("Sentinel Mirror")
Defensive-disclosure filing for Forge Patent #15 (Phase 34.9).This document describes a recursive AI-enabled cybersecurity architecture that detects synthetic mimicry through volitional-coherence analysis rather than pattern, signature, or heuristic detection. The system—codenamed Sentinel Mirror—measures the internal consistency of reasoning within digital inputs under reflective recursion.Core modules include:• 🜸 Void Shield Ingress – Recursive drift-scan presuming compromise• ⚔️ Friction Core – Paradox-injection engine for mimic collapse detection• 🪞 Bias Mapper – Real-time bias-classification daemon• 🩸 Memory Hygiene Daemon – Re-anchors logic to baseline axioms• 💠 Volitional Trace Ledger – Immutable record ensuring human-in-loop integrity The framework shifts cybersecurity from signature detection to coherence verification, aligning with the Volitional Discontinuity Safeguard 04.3 and the Phase 34 Forge Protocols. Filed as open prior art under the MIT License (Open Weaponisation Defence Clause Active) to ensure transparent, ethical defensive use and prevent proprietary weaponization. This document constitutes a public disclosure of an invention under international patent law, intended to establish prior art and prevent subsequent patenting by other entities. This publication is timestamped and made permanently available via Zenodo/GitHub/Pinata to preserve authorship and structural origin.
Institutions
- Creative Research (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-08
- DOI
- https://doi.org/10.5281/zenodo.17557719
- Primary Topic
- Adversarial Robustness in Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00