Structures risk mitigation planning and residual risk tracking for Data Protection Impact Assessments under GDPR Article 35(7)(d). Covers mitigation measure identification, implementation tracking, residual risk acceptance, and Art. 36 prior consultation triggers. Keywords: DPIA mitigation, risk treatment, residual risk, Art. 35(7)(d), safeguards, mitigation tracking, prior consultation.
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Article 35(7)(d) GDPR requires a DPIA to include "the measures envisaged to address the risks, including safeguards, security measures and mechanisms to ensure the protection of personal data and to demonstrate compliance with this Regulation." This skill provides a structured mitigation planning framework.
| Category | Examples | GDPR Reference |
|---|---|---|
| Encryption | At-rest, in-transit, end-to-end | Art. 32(1)(a) |
| Pseudonymisation | Tokenisation, hashing, key-coded | Art. 25(1), Art. 32(1)(a) |
| Access controls | RBAC, MFA, privileged access management | Art. 32(1)(b) |
| Data minimisation | Field-level reduction, aggregation, sampling | Art. 5(1)(c), Art. 25(1) |
| Anonymisation | k-anonymity, differential privacy, generalisation | Recital 26 |
| Monitoring | SIEM, DLP, anomaly detection | Art. 32(1)(d) |
| Category | Examples | GDPR Reference |
|---|---|---|
| Policies | Data protection policy, acceptable use | Art. 24(2) |
| Training | Privacy awareness, role-specific training | Art. 39(1)(b) |
| Contracts | DPAs, joint controller arrangements, NDAs | Art. 28, Art. 26 |
| Audits | Internal audits, processor audits, certification | Art. 28(3)(h) |
| Governance | DPO oversight, privacy committee, RACI | Art. 37-39 |
| Incident response | Breach procedures, notification protocols | Art. 33-34 |
For each identified risk:
Residual Risk LOW → Accept; document; routine monitoring
Residual Risk MEDIUM → Accept with enhanced monitoring; annual review
Residual Risk HIGH → Escalate to senior management; consider additional measures
Residual Risk VERY HIGH → Art. 36 prior consultation required before processing
Each mitigation measure progresses through:
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概要と使いどころ
Implements 42 CFR Part 2 protections for substance use disorder patient records. Covers written consent requirements stricter than HIPAA, re-disclosure prohibition, court order procedures, qualified service organization agreements, and 2024 amendments aligning Part 2 with HIPAA. Keywords: 42 CFR Part 2, substance use disorder, SUD records, re-disclosure, consent, Part 2 amendments.
日本語の概要は準備中です。原文の説明を表示しています。
Guides assessment of third-country adequacy decisions under GDPR Article 45 for international data transfers. Covers the current EC adequacy decisions list, adequacy assessment criteria, partial adequacy handling, and monitoring of adequacy decision reviews. Keywords: adequacy decision, Article 45, third country, adequate protection, EC adequacy list.
日本語の概要は準備中です。原文の説明を表示しています。
Implements age-gating mechanisms for online services to restrict access based on user age. Covers hard gates versus soft gates, neutral age prompts, re-verification triggers, circumvention prevention, and regulatory requirements under GDPR, COPPA, UK Online Safety Act, and DSA. Keywords: age gate, age restriction, neutral prompt, children, online services, access control.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates and implements age estimation and verification technologies for online services. Covers facial age estimation, digital ID verification, self-declaration with risk assessment, AI-based age estimation, and the accuracy versus privacy tradeoff. Includes ICO guidance and euCONSENT framework. Keywords: age verification, age estimation, facial analysis, digital ID, children, online safety.
日本語の概要は準備中です。原文の説明を表示しています。
Preparing EU AI Act compliance documentation for high-risk AI systems. Covers Annex III classification, technical documentation under Art. 11, conformity assessment, risk management systems, and CE marking requirements. Keywords: EU AI Act, high-risk AI, Annex III, conformity assessment, CE marking.
日本語の概要は準備中です。原文の説明を表示しています。
Implements GDPR Art. 22 automated decision-making and AI Act Art. 14 human oversight requirements for AI systems. Covers identification of solely automated decisions, meaningful human intervention design, logic explanation mechanisms, and contestation procedures. Keywords: Art. 22, automated decision, human oversight, AI Act, profiling, contestation.
日本語の概要は準備中です。原文の説明を表示しています。