本文へ移動
cccskills
無料GitHub で公開

gdpr-gap-analysis

Guides systematic assessment of current state versus GDPR requirements across all chapters with prioritised remediation matrix. Activate when starting compliance programmes or conducting periodic reassessment. Keywords: gap analysis, compliance assessment, remediation matrix, GDPR readiness.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md1.8 KB
  • assets/template.md1.5 KB
  • references/standards.md1.2 KB
  • references/workflows.md1.5 KB
  • scripts/process.py3.0 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Conducting GDPR Compliance Gap Analysis

Overview

A GDPR compliance gap analysis systematically compares current data protection practices against full GDPR requirements across all chapters, identifying gaps, assigning risk ratings, and producing a prioritised remediation matrix.

Implementation Approach

Phase 1: Assessment

  1. Review current state against applicable GDPR articles.
  2. Identify gaps between current practices and requirements.
  3. Classify gaps by severity and regulatory risk.
  4. Document the assessment with evidence references.

Phase 2: Design

  1. Design measures to address identified gaps.
  2. Align measures with organisational capacity and risk appetite.
  3. Obtain DPO and stakeholder review of proposed measures.
  4. Create implementation timeline with milestones.

Phase 3: Implementation

  1. Execute the implementation plan according to priority.
  2. Document all measures implemented with evidence.
  3. Train relevant staff on new procedures and requirements.
  4. Validate implementation through testing or review.

Phase 4: Maintenance

  1. Schedule periodic reviews (minimum annual).
  2. Monitor for regulatory changes affecting the scope.
  3. Update measures in response to audit findings or incidents.
  4. Report on compliance status to the governance structure.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

mukul975 のスキルをすべて見る

このスキルの問題を報告する