PP-SPEC-040: Proof of Efficacy Mapping to NIST AI 100-2

Status: DRAFT v0.1
Author: Craig Ellrod / Nebulonium, Inc. / HACKERverse®
License: Greater Good Commercial License 1.0 (GGL-C-1.0); text CC BY 4.0 under Part S. See LICENSE.md.

Normative specification: PP-SPEC-040-NIST-AI-100-2-Adversarial-ML-Mapping.md

Purpose

This repository defines a Proof Protocol mapping between NIST AI 100-2, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations, and Proof Protocol evidence, efficacy, and proof semantics.

NIST AI 100-2 is treated as a pluggable source of adversarial machine-learning taxonomy, attack, and mitigation context. Proof Protocol remains framework-agnostic and independently establishes whether a selected control performed as claimed.

Repository contents

• PP-SPEC-040-NIST-AI-100-2-Adversarial-ML-Mapping.md — normative mapping specification
• README.md — repository overview
• LICENSE — license for original Proof Protocol material
• CONTRIBUTING.md — contribution guidance
• CITATION.cff — citation metadata

Architectural principle

Threat frameworks are pluggable inputs to Proof Protocol. Proof Protocol is framework-agnostic.

External frameworks identify what may be tested. Proof Protocol independently establishes whether a control worked and what evidence proves the result.

Ownership and external-framework notice

This Proof Protocol mapping is independently authored. NIST AI 100-2 and associated NIST materials remain subject to their applicable ownership and publication terms. Mapping establishes interoperability, not dependency, endorsement, or transfer of ownership.