Frameworks / UNESCO Recommendation on the Ethics of AI / UNESCOAI-2 What else in your programme already covers this This control maps to 166 controls across 45 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
CH-FADP-19 Transparency and proactive information CH-FADP-21 Data protection impact assessments CH-FADP-22 Privacy by design and default CH-FADP-23 Data processing agreements CH-FADP-24 Cross-border transfer safeguards FADP-16 FDPIC Independence and Functions FADP-7 Data Protection Impact Assessment (Articles 9-10) FADP-9 Data Protection Advisor (Articles 14-15) AT-DSG-10 Section 29 - Liability and right to compensation / civil jurisdiction AT-DSG-12 Section 62 - Administrative penalties AT-DSG-7 Section 18 - Establishment of the Data Protection Authority MLE.1 Machine Learning Requirements Analysis MLE.2 Machine Learning Architecture SUP.11 ML Data Management Support DIQ-2 Data Quality Management DIQ-3 Metadata Management RMD-2 Master Data Management UGA-3 Accountability Principle UGA-6 Personal Data Protection Office UGA-7 Data Protection Officer AZ-DPA-15 Article 17 - Dispute resolution AZ-DPA-6 Article 6 - State regulation in personal data protection BB-DPA-1 Section 1 - Short Title BB-DPA-4 Section 4 - Principles Relating to Processing NDPA-1 Applicability, Scope, and Carve-Outs NDPA-4 Sensitive Data Processing Consent and Childrens Protections SO3.3 Data governance and protection SO3.5 Artificial intelligence governance in health ASD37-27 Outbound data loss prevention (Very Good) CPG-3.C Strong and Agile Encryption TEF-2 Openness and Transparency D.1 Incident Response Planning Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected .
Query this from an agent The graph holds this control, the 166 it maps to, and the evidence behind each claim, over MCP and REST.