Criminals in financial crime continue to evolve quickly, forcing institutions to stay one step ahead. While technology, regulations and collaborative frameworks have advanced significantly, the main challenge now lies in ensuring that operational readiness and cultural attitudes keep pace.
According to insights from Salv, the effectiveness of financial crime prevention often comes down to the willingness of leadership to drive change. With the right alignment, institutions can see rapid improvements. Looking ahead to 2030, the firm expects major shifts in how intelligence is shared, how fraud is tackled, and how compliance strategies evolve.
A central development will be the rise of intelligence sharing as the so-called fourth pillar of compliance. Following transaction monitoring, sanctions screening and risk-based onboarding, intelligence sharing is emerging as a mandatory compliance expectation. Unlike earlier controls, this step extends beyond individual organisations. It requires banks, FinTechs and payment providers to collaborate in real time, exchanging insights to detect and prevent fraud and money laundering before they cause serious damage.
The regulatory environment is already laying the groundwork. Article 75 of the EU Anti-Money Laundering Regulation formally supports partnerships for intelligence sharing, while PSD3 is expected to introduce similar provisions. The UK has also signalled movement in the same direction, highlighting that cross-border cooperation will be key to making this framework successful.
But regulation alone is not enough. Culture remains a decisive factor. Salv’s experience shows that the greatest barrier to adoption is not technology or legality but internal hesitation. In Estonia, adoption accelerated only when CEOs openly endorsed collaboration. That top-down support empowered compliance teams to act decisively and inspired other banks to follow. This cultural shift transformed a tentative trial into a national model. As regulators begin to showcase early adopters, intelligence sharing is likely to evolve into an industry standard, embraced as a matter of professional pride.
Meanwhile, fraud tactics are becoming increasingly scalable. Criminals are using artificial intelligence, automation and large networks of mule accounts to increase activity while staying harder to trace. These methods thrive when financial institutions remain siloed. However, intelligence sharing flips the equation by raising the cost of crime. Attacks are disrupted more often, accounts are shut down faster, and stolen money is intercepted before it moves. The result is a fundamental shift in the economics of financial crime.
Although fraud prevention is a primary focus today, the potential applications for intelligence sharing extend far wider. In the coming years, it is expected to play a critical role in money laundering investigations, enhanced due diligence, sanctions enforcement and counter-terrorist financing. Regulatory structures already encourage these use cases, but broader adoption requires stronger confidence, clear examples, and integration with systems such as KYC utilities and national compliance platforms.
Among Salv’s advanced clients, there are signs of growing involvement from supervisors, standard-setters and industry groups. This consistency helps institutions feel more secure in taking collaborative action.
The long-term transformation will be a shift from retrospective compliance to predictive intelligence. Instead of analysing past failures, institutions will increasingly harness real-time signals, structured data, AI and automation to intervene earlier and more effectively. This will mean fewer false positives, reduced duplication, and faster decision-making across compliance teams.
Over the next five years, institutions can expect tighter regulatory expectations, more sophisticated criminals, and stronger demands for collaboration. Yet this moment also presents a chance to reset the way financial crime is addressed. Those that move early will not only be better equipped to respond but will also help define the future of financial crime prevention.
Culture and AI are pivotal in strengthening defenses against financial crime. To explore how these elements align with building a compliance-first culture with RegTech, read our comprehensive analysis on embedding compliance through advanced RegTech solutions.
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