Machine Learning
What is Machine Learning?
A branch of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed. Machine learning algorithms build models from training data to make predictions or decisions.
Terms that appear alongside machine learning
Each of these is named in at least one of the same controls as machine learning. The number is how many controls name both.
- governance 8 shared controls
- cybersecurity 7 shared controls
- compliance 5 shared controls
- ransomware 5 shared controls
- transparency 5 shared controls
- resilience 5 shared controls
- generative ai 4 shared controls
- policy 4 shared controls
Frameworks that govern machine learning
What the standards actually require on machine learning
Requirements naming machine learning across 6 standards, quoted from the control text.
Train ML models with controlled datasets, documented hyperparameters, and reproducible procedures.
MLE.3 · Machine Learning Training →Ghana CSA implementation status + Cybersecurity Strategy 2024-2028 + 2024-2025 pipeline. STATUS: Act 1038 in force since 6 January 2021; CSA Ghana operational with growing capacity; first CII designations 2021-2023 across all 13 sectors;
GhCSA-Status-2024-2025-Strategy-AI · Implementation Status, Cybersecurity Strategy 2024-2028 and 2024-2025 Pipeline →HKMA C-RAF 2024-2025 pipeline + emerging risks + sectoral cybersecurity evolution. KEY 2024-2025 INITIATIVES: (1) AI + MACHINE LEARNING + GENERATIVE AI CYBER GOVERNANCE - AIs deploying AI/ML for fraud detection + AML + customer service + lending + risk managem...
HKMA-CRAF-2024-2025-AI-Quantum-Cloud-Ransomware-DORA · HKMA C-RAF 2024-2025 Pipeline - AI, Quantum-Resistant Cryptography, Cloud Security, Ransomware, EU DORA Coordination →The IRM Standard introduces a four-category risk taxonomy + FOIL (Financial/Operational/Internal/External) typology to provide comprehensive Risk Universe coverage.
IRM-RiskCategories-Strategic-Financial-Operational-Knowledge-FOIL-External-Internal-DownsideUpside · IRM Four Risk Categories - Strategic + Financial + Operational + Knowledge + FOIL Typology + External vs Internal + Downside Threats and Upside Opportunities + Risk Universe →Article 6 designates the high-risk machinery categories listed in Annex I that are subject to mandatory third-party conformity assessment (because of the level of risk).
MR-Art.6_7 · High-risk machinery categories and safety components (Articles 6-7 + Annex I) →Article 10 sets the factor-based 'defectiveness' test. A product is defective if it does not provide the safety which the public at large is entitled to expect, considering all the circumstances + in particular: (a) presentation of the product including instru...
PLD-Art.10 · Defectiveness (PLD Article 10) - factor-based assessment →Questions people ask about machine learning
What is Machine Learning?
Why is Machine Learning important for compliance?
Which compliance frameworks address Machine Learning?
Where can I learn more about Machine Learning?
See how Machine Learning applies across compliance frameworks
Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.