AI and quantum technology can both be harnessed to analyse complex data and tackle financial crime. For example, AI uses historical data and pattern recognition to detect fraud by identifying unusual behaviour based on past events. It’s reactive, flagging anomalies once they appear. Quantum computing, on the other hand, goes beyond pattern analysis. It can simulate intricate scenarios in real time, enabling a proactive approach to fraud prevention. While AI accelerates detection, quantum technology unlocks deeper insights.
Key emerging trends in this area include:
➡️ More joined up thinking and integration between traditionally separate teams across the 1st/2nd line, AI and data;
➡️ Early conversations about quantum appearing in financial crime forums; and
➡️ Increased attention from regulators on how emerging and quantum technology is applied in high-stakes environments. This was reinforced in the FCA’s AI Update last April. The same challenges remain as AI in terms of establishing clear regulatory frameworks and guidelines.
At Plenitude clients benefit from a converged team of specialists:
✅ Financial Crime & Fraud Experts who understand evolving typologies, regulatory expectations, and the operational realities of prevention and detection.
✅ Data & Analytics Professionals who design and optimise models to turn complex datasets into actionable insights.
✅ AI & Tech Assurance Leaders who ensure emerging technologies like AI and quantum are explainable, ethical, and compliant.
✅ Technology Advisors who bring deep understanding of system design, architecture, and the roadmap for scalable innovation.
💡 As quantum moves out of the lab and into practical use cases, like detecting patterns in large, complex datasets, we think this kind of multidisciplinary collaboration will become exponentially more important.
Reach our directly, or visit our website for more information: https://www.plenitudeconsulting.com/