White Paper: Holistic Anti-Financial Crime Compliance
by Maud Vonlanthen on
27 Aug. 2026
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About the white paper
Financial crime has evolved beyond traditional boundaries. Criminal networks operate across fraud, money laundering, sanctions evasion, institutions, and jurisdictions, while financial crime controls often remain fragmented across separate teams, systems, and data environments.
As threats become more connected and payments move faster, financial institutions need a more holistic approach. Holistic Anti-Financial Crime (AFC) brings together data, intelligence, analytics, and processes to uncover connections that siloed controls may miss and enable more effective prevention and detection.
This white paper explores the shift towards holistic Anti-Financial Crime:
Why siloed approaches struggle to keep pace with increasingly connected financial crime
How holistic data and AI can reveal patterns and networks across traditional risk domains
Why a connected approach is critical to fighting financial crime in real time
The practical and organizational challenges of moving towards a holistic AFC program
Is your institution ready to move beyond siloed financial crime controls?
Download the white paper and discover why holistic Anti-Financial Crime is becoming a strategic necessity.
Holistic Anti-Financial Crime (AFC) is an approach that connects data, intelligence, analytics, and processes across traditionally separate financial crime functions, such as fraud, anti-money laundering (AML), and sanctions. By breaking down silos, financial institutions can identify relationships and patterns that may remain hidden when each risk domain is analyzed independently.
Why is a holistic approach to financial crime important?
Financial crime increasingly operates across traditional risk domains, institutions, and jurisdictions. Fraud, money laundering, and sanctions evasion may be different elements of the same criminal network. A holistic approach helps financial institutions connect these signals and gain a more complete view of financial crime risk.
How can AI support a holistic approach to financial crime?
AI can identify patterns and relationships across large volumes of connected financial crime data. Its effectiveness, however, depends on the underlying data. Connecting information across fraud, AML, sanctions, transactions, customers, and external sources gives AI a more complete picture from which to identify financial crime risk.
How can financial institutions move toward holistic AFC?
The transition typically starts by connecting and resolving data across financial crime functions. Institutions can then build shared intelligence and case management, introduce cross-domain analytics, and progressively align governance, processes, and teams. Holistic AFC is therefore not only a technology transformation, but also an operating model change.
