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dpia-mitigation-plan

dpia-mitigation-plan

github.com/mukul975Security32339 installsUpdated 32w ago
Repository

About dpia-mitigation-plan

A structured skill for planning DPIA risk mitigations under GDPR. It helps privacy and security teams define measures, owners, deadlines, verification methods, and residual-risk decisions for identified risks.

Key features

  1. 01Technical and organisational measures
  2. 02Risk-linked mitigation plan structure
  3. 03Owner and deadline tracking
  4. 04Verification methods
  5. 05Residual-risk decision framework
  6. 06Implementation status tracking

Use cases

  1. 01Planning controls for a DPIA risk
  2. 02Assigning accountable owners and deadlines
  3. 03Reviewing residual risks before processing
  4. 04Tracking mitigation from proposal to verification

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mukul975/privacy-data-protection-skills --skill dpia-mitigation-plan

After installing, type/dpia-mitigation-planin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

assets/
template.md
references/
standards.md
workflows.md
scripts/
process.py

Details

From the project README

DPIA Mitigation Planning

Overview

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.

Mitigation Strategy Categories

Technical Measures
CategoryExamplesGDPR Reference
EncryptionAt-rest, in-transit, end-to-endArt. 32(1)(a)
PseudonymisationTokenisation, hashing, key-codedArt. 25(1), Art. 32(1)(a)
Access controlsRBAC, MFA, privileged access managementArt. 32(1)(b)
Data minimisationField-level reduction, aggregation, samplingArt. 5(1)(c), Art. 25(1)
Anonymisationk-anonymity, differential privacy, generalisationRecital 26
MonitoringSIEM, DLP, anomaly detectionArt. 32(1)(d)
Organisational Measures
CategoryExamplesGDPR Reference
PoliciesData protection policy, acceptable useArt. 24(2)
TrainingPrivacy awareness, role-specific trainingArt. 39(1)(b)
ContractsDPAs, joint controller arrangements, NDAsArt. 28, Art. 26
AuditsInternal audits, processor audits, certificationArt. 28(3)(h)
GovernanceDPO oversight, privacy committee, RACIArt. 37-39
Incident responseBreach procedures, notification protocolsArt. 33-34

Mitigation Plan Structure

For each identified risk:

  1. Risk reference -- Link to DPIA risk register entry
  2. Inherent risk level -- Before mitigation
  3. Proposed measures -- Specific technical and organisational controls
  4. Implementation owner -- Accountable person
  5. Implementation deadline -- Target completion date
  6. Verification method -- How effectiveness will be confirmed
  7. Residual risk level -- After planned mitigation
  8. Acceptance decision -- Within appetite / escalation required / prior consultation

Residual Risk Decision Framework

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

Implementation Tracking

Each mitigation measure progresses through:

  • Proposed -- Identified but not yet approved
  • Approved -- Budget and resources allocated
  • In Progress -- Implementation underway
  • Implemented -- Deployed and operational
  • Verified -- Effectiveness confirmed through testing

Comments

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