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AI is no longer peripheral – it is embedded in decision-making, risk, and control. As that shift accelerates, tolerance for ambiguity around accountability is collapsing. Regulators are no longer asking whether firms use AI, but whether they understand, control, and can stand behind it. This is where the accountability gap becomes real. The core tension …

Financial regulation has always been shaped by the boundaries it seeks to defend. Once, those boundaries were physical—bank branches, vaults, national borders. Then they became digital, defined by networks, firewalls, and systems. Today, those perimeters are dissolving. In their place, a new focal point is emerging: identity. As financial services fragment across platforms, jurisdictions and …

Launched in 2021, Massachusetts-based Rhino Federated Computing is focused on one of AI’s biggest challenges: activating siloed data through federated computing. Over the past three decades, financial institutions have invested heavily in making data available to enable better decisions for the business. Now the focus is on enabling advanced AI models and agents on top of that …

Regulation used to sit at the edges of the enterprise, tracked by specialist teams, interpreted periodically and pushed downstream into compliance, legal and risk functions. That model is starting to break. As regulatory change grows faster, broader and more complex, firms can no longer afford to treat regulatory intelligence as a background task or a …

Regulation was once positioned at the periphery of the financial system. A necessary constraint, reviewed periodically, handled reactively, and largely viewed as a cost of doing business. That perspective is starting to unravel.  Today, the sheer volume, speed and complexity of regulatory change mean that interpretation alone is no longer sufficient.    Firms are no longer just reading regulation; …

Financial crime detection is being quietly rebuilt from the ground up. What was once a rules-driven discipline – defined by static thresholds, retrospective reviews, and an ever-growing backlog of alerts – is now being reshaped by machine intelligence that can detect patterns, context, and intent in real time. The shift is not just technological; it …

RegTech was built to solve fragmentation in compliance. But as the sector consolidates and platforms expand across surveillance, reporting, identity and risk, a new question is emerging: are firms replacing operational fragmentation with platform concentration risk? For financial institutions, the appeal of unified RegTech stacks is obvious. Consolidated platforms promise lower costs, integrated data models …

A growing volume of regulations and updates, rapid advances in technology and an uncertain geopolitical climate are making regulatory compliance more complex each year—and 2026 looks set to continue that trend. Companies face a difficult landscape of needing to embrace innovation to keep pace with market demands, while ensuring they remain within the boundaries of …

Until recently, anti-financial crime convergence was for many in the financial industry a strategic ambition. Today, faster payments, converging crime typologies, and heightened regulatory scrutiny have made it an operational requirement for effective financial crime prevention. According to Sebastian Hetzler, co-CEO of IMTF, anti-financial crime convergence became an operational necessity because financial crime itself has converged …

Compliance has always been built on a simple premise: when something goes wrong, someone is accountable, and there is accountability. That assumption is now under strain. Decisions that once relied on human judgement are increasingly shaped — and in some cases made — by automated systems. Risk scores are generated automatically. Customers are onboarded or …