Adhere to OECD 2024 Update security + model and data protection + IP + environmental sustainability. Security including model and data protection must (a) protect AI models against extraction + theft + tampering + with model signing + cryptographic protection + access control + (b) protect training and inference data against unauthorised access + tampering + extraction + including model inference attacks + (c) implement security per emerging AI security frameworks (NIST AI 100-3 + ISO/IEC TS 27091 + MITRE ATLAS + OWASP LLM Top 10 + similar), (d) coordinate AI security with broader cybersecurity governance. Intellectual property and training data must (a) respect IP rights in training data including copyright + trademark + database rights + sui generis protections + (b) maintain training data provenance + licensing + opt-out + with reproducible data trails, (c) navigate emerging case law and statutory developments (US fair use cases + EU AI Act Article 53 + UK CDPA + China + Japan + Singapore guidance), (d) support content creator rights including remuneration + attribution + opt-out where applicable. Environmental sustainability considerations must (a) assess AI training and inference energy + water + carbon footprint + with disclosure proportionate to material impact, (b) implement efficiency measures + renewable energy + lifecycle assessment + (c) consider AI use for environmental benefit (climate modelling + biodiversity + circular economy + efficient grids) and balance against direct environmental costs, (d) align with broader environmental reporting (TCFD + ESRS E1 + ISSB S2 + similar).
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.