The EDPB Position on MPC

The EDPB has identified multi-party computation as an "accountability tool" for cross-border data processing. The Board's analysis addresses MPC specifically in the context of sharing personal data across institutional and jurisdictional boundaries. The conclusion is that MPC satisfies the GDPR data minimisation principle in a way that conventional sharing arrangements cannot.

The EDPB describes MPC as a technique that "transforms personal data into random auxiliary numbers which are deleted after the computation, rendering them virtually impossible to intercept." This characterisation matters for legal analysis. MPC does not transmit personal data between institutions. It transmits intermediate cryptographic values derived from that data, values that carry no intelligible information about individuals and are discarded once the computation completes.

The output of an MPC computation, such as a cross-institutional risk signal indicating that a specific entity has elevated risk at multiple banks, is generated from the inputs without any institution ever holding or transmitting another institution's raw data. The intelligence is derived. The source data stays put.

Data Minimisation Under Article 5(1)(c)

GDPR Article 5(1)(c) requires that personal data be "adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed." Applied to collaborative AML, this means that the sharing of customer transaction data between banks must be limited to what is strictly necessary to achieve the detection objective.

Conventional data sharing fails this test when applied broadly. Sharing transaction records, even pseudonymised, provides far more personal data than is necessary to generate a cross-institutional risk signal. The risk signal is what the compliance analyst needs. The underlying transaction detail is not.

MPC satisfies Article 5(1)(c) because the output, the risk intelligence, is generated without transmitting the input. The processing produces the necessary result with minimum data exposure. The EDPB's characterisation of MPC as satisfying data minimisation is grounded in this logic: you cannot minimise data more than by not sharing it at all while still generating the derived intelligence.

Pseudonymous, Not Anonymous

Legal teams must understand one important limitation. The EDPB does not treat MPC intermediate values as anonymous data under GDPR. They are treated as pseudonymous. GDPR applies to the processing. The regulation is not disapplied simply because the data takes a cryptographic form during computation.

The distinction matters for DPIAs. A Data Protection Impact Assessment for an MPC-based collaborative AML system must address the residual privacy risks. The EDPB considers MPC a high-standard technical safeguard that goes significantly beyond basic pseudonymisation, but it does not provide a complete exemption from GDPR obligations. Controllers remain accountable. Records of processing must be maintained. Data subject rights still apply to the underlying personal data held within each institution.

For practical purposes, the residual risk is substantially lower than in conventional sharing arrangements. An institution receiving MPC-derived risk signals holds no additional personal data about the other institution's customers. The risk of re-identification, data breach, or misuse at the receiving institution is materially reduced.

Legal Basis: AMLR Article 75 and GDPR Article 6(1)(c)

MPC satisfies the technical requirements. The legal basis question requires separate analysis. GDPR Article 6(1)(c) permits processing that is "necessary for compliance with a legal obligation to which the controller is subject." AMLR Article 75 (Regulation 2024/1624), applying from July 10, 2027, provides that legal obligation for banks participating in information-sharing partnerships.

Article 75 itself mandates pseudonymisation as a required safeguard under Article 75(4)(f). MPC delivers stronger protection than Article 75 requires. The combination of Article 6(1)(c) GDPR and Article 75 AMLR provides a legally sound basis for MPC-based cross-institutional monitoring. DPOs drafting DPIAs can reference both provisions when documenting the legal basis and technical safeguards.

Purpose Limitation

GDPR Article 5(1)(b) requires that personal data be collected for specified, explicit, and legitimate purposes and not further processed in a manner incompatible with those purposes. Data collected for a business relationship, a bank account, a payment service, cannot automatically be processed for collaborative AML analytics.

AMLR Article 75 provides the statutory compatibility that resolves this tension. AML/CFT monitoring is a legal obligation for banks. Processing customer data for AML purposes is compatible with the original collection purpose because the legal framework requires it. AMLR Article 75 makes the partnership-based sharing a specific extension of that obligation. The purpose limitation concern does not disappear, but it is answered by the statutory framework.

Record Retention and the Right to Erasure

AMLR requires five-year retention of AML records under Article 77. GDPR Article 17 grants data subjects the right to erasure. These two obligations are in tension for AML data. The resolution is well-established in EU law. Article 17(3)(b) GDPR carves out erasure obligations where processing is necessary for compliance with a legal obligation. The five-year AML retention period qualifies.

After the retention period expires, the obligation reverses. Data that has served its AML retention purpose must be deleted or fully anonymised. Banks operating MPC-based collaborative monitoring must build this into their data lifecycle management. The cross-institutional risk signals generated by MPC are derived data. Their retention period and deletion requirements must be documented separately from the underlying transaction records.

What This Means for Legal Teams

The GDPR is not a barrier to collaborative AML. It is a framework that demands specific technical safeguards. The EDPB has identified MPC as the technology that satisfies those safeguards in the cross-institutional context. The legal analysis is clear: Article 75 AMLR provides the legal basis, Article 6(1)(c) GDPR supports it, and MPC satisfies Article 5(1)(c) data minimisation.

DPOs and legal teams should not wait for the July 2027 application date to begin DPIA work. Article 75 partnerships require documented legal analysis before go-live. The technical design determines much of that analysis. Banks that engage with the technical architecture now will have the DPIA documentation ready when the regulation applies.