Financial crime increasingly crosses institutional and jurisdictional boundaries, making the speed, consistency and quality of information exchange more important to anti money laundering efforts. A single transaction can involve multiple financial institutions, payment channels and jurisdictions, while each organisation may hold only part of the information needed to identify a wider pattern. As financial activity becomes more interconnected, financial intelligence sharing is moving toward a more structured model based on common formats, secure digital infrastructure and clearer rules for cross border exchanges.
The European AML framework is advancing this transition ahead of the new rules taking effect from July 2027. A major development is the Next Generation FIU.net platform, which went live in February 2025. The upgraded system is designed to improve information exchange and cross matching between Financial Intelligence Units, while strengthening the digital infrastructure supporting cooperation. The network connects 30 Financial Intelligence Units across the European Union, Norway, Iceland and Liechtenstein, together with Europol.
Standardised Formats are Strengthening Information Exchange
The next stage is focused on creating greater consistency in the information being exchanged. In May 2026, AMLA consulted on an Implementing Technical Standard introducing six standard templates for exchanges between Financial Intelligence Units through FIU.net. The proposed templates cover different exchange situations, including spontaneous exchanges, requests for information, responses to requests, feedback and cross border reports.
AMLA said the approach is intended to improve the completeness and consistency of information while reducing operational gaps and delays. This changes the role of financial intelligence sharing from simply transferring information between authorities toward creating a common structure that makes intelligence easier to interpret and process.
AMLA finalised the common formats in July 2026, with implementation progressing toward fully machine readable reporting and full FIU.net integration by 10 July 2028. Structured information can be more easily validated, searched, compared and processed across digital systems, reducing the need for manual intervention.
Cross Border Exchange is Becoming More Systematic
The framework is also establishing clearer criteria for when suspicious activity information should move across borders. AMLA’s July 2026 consultation on cross border FIU information exchange proposes common criteria for identifying when a suspicious activity report concerns another jurisdiction and should therefore be transmitted to its Financial Intelligence Unit.
A more consistent approach could reduce differences in how cross border information is identified and exchanged. It could also help receiving authorities understand why specific information has been shared and how it relates to activity within their jurisdiction.
This matters because intelligence can lose value when it arrives without enough context. Standardisation can provide a common structure for the information itself, while digital infrastructure can support faster transmission and analysis. Financial intelligence sharing is therefore becoming increasingly dependent on both regulatory standards and technical capabilities.
The development also reflects a wider international direction. FATF has identified stronger public private information sharing as an important element of improving financial crime detection and disruption as digitalisation and cross border transactions increase in speed and complexity.
For financial institutions and authorities, the focus is therefore shifting from simply making information available toward making it structured, timely and usable. The effectiveness of the emerging framework will depend on whether common standards and digital infrastructure can improve intelligence quality while limiting unnecessary reporting and processing burdens.
Financial Intelligence Sharing Expanding Beyond FIU Networks
The move toward structured intelligence exchange is extending beyond Financial Intelligence Units as regulators establish clearer frameworks for cooperation between financial institutions and public authorities. The objective is to connect relevant information held across different parts of the financial system while maintaining controls around confidentiality, privacy and legitimate data use. This is making financial intelligence sharing increasingly dependent on common governance standards as well as the technology used to exchange information.
Article 75 of the European Union’s new AML Regulation establishes a framework for information sharing partnerships between obliged entities and, under defined conditions, public authorities. The provisions are scheduled to apply from 10 July 2027. The framework is designed to allow participants to share information that is necessary for preventing or detecting money laundering and terrorist financing, while placing requirements around confidentiality, access, record keeping and data protection.
Public Private Partnerships are Expanding the Intelligence Network
The European approach forms part of a wider international development. A 2026 Financial Action Task Force review identified at least 84 public private partnerships for information sharing globally. Of the 52 jurisdictions surveyed, 18 reported having more than one domestic partnership. The review found that these arrangements can improve the ability of public authorities and private sector participants to identify and disrupt financial crime when they operate with appropriate legal frameworks, governance structures and technology.
The significance goes beyond the volume of information exchanged. Financial institutions may see activity patterns that are not immediately visible to authorities or other institutions, while public bodies can possess intelligence that helps put individual transactions into a broader context. Bringing those perspectives together can make financial intelligence sharing more useful, particularly where transactions extend across multiple institutions or jurisdictions.
However, larger information flows can also create additional analytical burdens. Duplicate reports, inconsistent information and poorly defined exchange criteria can increase the amount of data that analysts must review without necessarily improving the quality of intelligence. Effective information-sharing frameworks therefore need to establish not only what can be shared, but also what information is relevant and how it should be assessed.
Data Protection is Becoming Part of the Architecture
Privacy requirements are increasingly being incorporated into the design of information-sharing systems rather than addressed after they are established. AMLA and the European Data Protection Board are developing joint guidance on information-sharing partnerships to clarify how financial crime prevention objectives can be pursued while maintaining data protection requirements.
This becomes particularly important as automated analytics and artificial intelligence become more widely used in AML operations. Systems that combine information from multiple sources can potentially identify relationships and patterns that would be difficult to detect manually, but they also increase the importance of access controls, audit trails, data quality and human oversight.
The same principle applies to machine-generated intelligence. Information produced through automated analysis cannot automatically be assumed to be accurate or appropriate for wider circulation. Governance mechanisms therefore need to establish how such information is validated before it enters a broader intelligence-sharing process.
