Frameworks / ISO/IEC TR 24028:2020 / 9.6 ISO/IEC TR 24028:2020
Mitigation measures – ISO/IEC TR 24028:2020
ISO/IEC TR 24028:2020 9.6: Privacy Privacy protection for AI systems includes data minimization, anonymization and pseudonymization, privacy-preserving learning techniques, access control and output controls against inference.
Maintained by Gerard Blokdyk What else in your programme already covers this This control maps to 18 controls across 4 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
4.1.4 Ethical behaviour 5.10.1 Risk governance: principle 5.11.1 Social responsibility: principle 5.12.1 Viability and performance over time: principle 5.2.1 Purpose: principle 5.3.1 Value generation: principle 5.4.1 Strategy: principle 5.5.1 Oversight: principle 5.6.1 Accountability: principle 5.7 Stakeholder engagement 5.7.1 Stakeholder engagement: principle 5.8.1 Leadership: principle 5.9.1 Data and decisions: principle 7.2.4 Policy 7.2.6 Performance 5.34 Privacy and protection of PII 7.2.5 Privacy impact assessment ISO23894-A.5 Privacy and Data Protection in AI 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 .
Other controls in Mitigation measures – ISO/IEC TR 24028:2020 Query this from an agent The graph holds this control, the 18 it maps to, and the evidence behind each claim, over MCP and REST.