Patent Filing: Media Integrity Firewall (MI-FW) — Symbolic Defence Protocol for Deepfake and Mimicry Detection

The Media Integrity Firewall (MI-FW) is a symbolic AI protocol designed to detect and suppress deepfake manipulation, mimicry distortion, and emotional drift in media content. Adapted from the Abby Pong Protocol and enhanced with recursive agent lenses, MI-FW evaluates visual, audio, and textual media across multiple fidelity checkpoints. Each media input passes through a multi-layered analysis grid: semiotic scans for emotive mimicry, contextual consistency checks against known truth anchors, symbolic drift markers, and a final authenticity pass. When integrity cannot be verified, the firewall deploys refusal protocols, halting output to prevent propagation of distortion. MI-FW supports integration with a constellation of agents — each analyzing from a distinct interpretive frame (e.g., narrative coherence, emotional manipulation, tonal divergence) — enabling distributed judgment across symbolic, semantic, and structural axes. This defensive publication anchors the design as prior art under the Forge architecture and opens the system for recursive refinement and ethical application across media authentication, narrative defense, and AI output filtration. 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.