The financial industry is increasingly dependent on information sharing among institutions to effectively combat financial crimes such as fraud and anti-money laundering (AML), a challenge highlighted by the Royal United Services Institute's Future of Financial Intelligence Sharing Research (FFIS) program. The study led by Nick Maxwell, "Lessons in private-private financial information sharing to detect and disrupt crime," explores how financial institutions can collaborate to share data while preserving privacy, which is crucial given the prevalence of customers engaging with multiple financial providers. With the average American and millennials having numerous financial relationships, individual institutions often lack a comprehensive view of a customer's activities, complicating efforts to identify illicit transactions. Innovations in technology, such as platforms like Duality, which combine cryptography and data science, are emerging to address these challenges, although they must navigate the constraints of regulations like the GDPR, which emphasizes data minimalism over the data-maximalist approach favored in AML efforts. For information sharing to become a standard practice, strategic vision and regulatory support are needed to balance effective crime detection with privacy considerations, as demonstrated by technology solutions that enhance data security while addressing non-technical issues.