Eastnets: Transforming FinCrime Strategy Through Collaborative Intelligence

At the ICA Future of FinCrime & Compliance Summit, Hacéne Kaci from Eastnets discussed how the financial industry is evolving to keep pace with increasingly sophisticated financial crime. As payment speeds increase, traditional fraud detection methods are struggling against bad actors who are now leveraging AI to create industrial-scale scams, synthetic identities, and fabricated credit histories. Kaci emphasises that because instant payments leave banks with little time to react, institutions must pivot from a reactive, rule-based approach to one that is predictive and proactive.

He works to dispel the common myth that AI will replace the human element in compliance and instead, Kaci suggests that AI functions best as a first line of defense, efficiently handling repetitive tasks and identifying hidden patterns. This allows human compliance officers to step in as the second line of defense, and applying their expertise to make final decisions based on the insights the AI provides. A significant part of the Eastnets approach is the focus on explainability, which ensures that every alert or case is backed by a clear rationale, giving financial institutions the transparency they need when working with auditors.

To navigate this modern landscape, Kaci outlines three major shifts that banks should adopt and the first is moving toward predictive AI to prevent financial crimes before they happen. The second shift involves fostering collaborative intelligence, such as implementing a compliance passport to share data safely between institutions. Finally, Eastnets advocates for breaking down internal data silos and by using a Unified Case Manager, financial institutions can consolidate data from fraud, sanction screening, and money laundering departments into a single presentation layer – giving teams a much clearer, comprehensive view of their data.

Ultimately, the message from Eastnets is one of optimism and by embracing these intelligent tools and shifting toward a more collaborative and predictive model, banks can not only protect their customers more effectively but also streamline their operations to be more efficient, accurate, and resilient.