8-phase framework for structured impact assessment in cross-border operations, with tools and international references.
DPIA methodology for multinationals is a systematic process divided into 8 phases.
Define processing perimeter (data, geographies, actors). Identify all relevant jurisdictions and supervisory authorities involved.
Mapping of GDPR, LGPD, AI Act, sector-specific laws (HIPAA, GLBA, MiFID II, NIS 2) and national laws. Identify conflicts.
Documentation of where data enters, is processed, stored and exits. Identify international transfers and risk points.
Risk assessment under each regime (GDPR, LGPD, AI Act, sectoral). Document potential violations, consequences and affected parties.
Specific assessment of post-transfer risk. Legal mechanism (SCC, BCR, adequacy). Supplementary measures (encryption, pseudonymisation).
Implementation of technical, legal and organisational controls. Prioritisation by risk and feasibility.
Drafting comprehensive DPIA report with compliance opinion. Presentation to DPO, legal counsel and stakeholders.
Implementation of compliance controls. Annual review or after significant changes in processing.
The first step is to answer: where is the data? Where is it processed? Who is responsible?
Harmonise requirements of GDPR, LGPD, AI Act and sector-specific laws.
Comparative analysis with international methodologies (CNIL PIA, ICO, NIST, ISO 29134) ensures multinational DPIA incorporates global best practices.
Tools and techniques to document data movement.
Risk assessment under each legal regime. The consolidated risk matrix ensures compliance with all authorities.
| Regime | Risk Category | Potential Violation | Severity |
|---|---|---|---|
| GDPR | Transfer without SCC | Article 44 β Transfer without legal basis | High |
| GDPR | State surveillance (Schrems II) | Article 35 β Risk of interception in US | High |
| LGPD | Transfer without consent | Article 5 XVII β Unauthorised transfer | High |
| AI Act | High-risk AI without FRIA | Article 27 β Fundamental rights violation | High |
| AI Act | Discriminatory bias cross-border | Article 10 β Non-discrimination violation | High |
TIA is the specialised assessment of whether data can be legally transferred and protected post-transfer.
Even with EU-US DPF, data on US servers is subject to state surveillance (EO 14028). TIA must document residual risk and mitigation measures (encryption, restricted access).
Implementation of controls to reduce identified risk.
Global best practices that inform the multinational DPIA.
| Methodology | Origin | Application | Relevance for Multinational DPIA |
|---|---|---|---|
| CNIL PIA | France (CNIL) | French DPIA methodology with open-source software | Structured risk assessment. Well-accepted in EU. |
| ICO DPIA | United Kingdom (ICO) | Practical post-Brexit DPIA guide | Incorporates Schrems II and UK GDPR. Transfer reference. |
| NIST Privacy Framework | USA (NIST) | Privacy framework with risk taxonomy | Structure for state surveillance assessment (US context). |
| ISO 29134 | ISO | Standard for Privacy Impact Assessment | International assessment structure. GDPR-compatible. |
| ISO 27701 | ISO | Extension of ISO 27001 for privacy | Technical controls for privacy and transfers. |
| IAPP Privacy by Design | IAPP | Privacy by Design principles | Integration of privacy into multinational system design. |
The outcome is a comprehensive DPIA report with compliance opinion.
DPIA is not a "set and forget" document. It requires active monitoring.
Multinational DPIA requires involvement of multiple teams.
Supervisor of DPIA. Responsible for quality and completeness.
Interpretation of national and sectoral laws. Compliance opinion.
Implementation of technical controls (encryption, access, segregation).
Description of processing, purposes, data needs.
Information on where they process, controls implemented, compliance.
Pre-decision consultation if high risk (Article 36 GDPR).
Artefacts expected at the end of the process.
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