Insider Brief
- AdvanThink and Quandela have partnered to develop quantum-enhanced AI systems for real-time payment fraud detection, aiming for faster and more accurate results.
- The collaboration will begin with a proof-of-concept integrating quantum machine learning into AdvanThink’s existing fraud detection infrastructure.
- The effort responds to rising demands for fraud prevention tools that are faster, more energy-efficient, and resilient to evolving cyber threats.
AdvanThink and Quandela are teaming up to build fraud detection systems that combine the speed of artificial intelligence with the power of quantum computing.
As reported in Finextra, the two European firms — AdvanThink, known for its AI-based fraud solutions, and Quandela, a quantum computing hardware and software company — have entered a strategic partnership to address one of the most persistent challenges in finance: identifying payment fraud in real time. Their aim is to build detection models that work faster, more accurately, and more efficiently than current tools, potentially transforming how the industry responds to threats.
Detecting fraud during a live payment transaction is an increasingly complex task. Criminal techniques adapt rapidly, requiring detection systems to continually evolve. For decades, AdvanThink has used machine learning and pattern recognition to stay ahead. These systems spot anomalies hidden in large volumes of payment data, often in milliseconds, helping financial institutions block fraudulent transactions before they’re completed. However, as the scale and complexity of digital transactions continue to grow, so too does the need for new computational strategies.
According to Finextra, the partnership is built on the idea that quantum machine learning could offer meaningful performance gains over classical algorithms. In theory, quantum computing could enhance pattern recognition by processing multiple data states simultaneously, which may allow models to learn faster or identify anomalies more effectively. This could be particularly useful in high-throughput environments where milliseconds matter.
The first step in the partnership is to develop a proof-of-concept system that integrates Quandela’s quantum algorithms into AdvanThink’s industrial-grade fraud detection pipelines. If successful, this could lay the groundwork for hybrid systems that use quantum processors alongside classical infrastructure.
According to the article, this collaboration reflects a broader trend across finance and cybersecurity, where institutions are exploring quantum readiness in anticipation of future threats and performance needs. The AdvanThink-Quandela partnership is not about replacing current systems overnight but rather preparing for what comes next.
“For 35 years, AdvanThink has placed technological innovation at the heart of its development strategy. Quantum AI holds great promise for fraud detection and represents a real innovation lever for building tomorrow’s payment security – and financial institutions need to start thinking about this transformation now. We have already succeeded in integrating Quandela’s technology into an AdvanThink pipeline with all the prerequisites of an industrial system ready for deployment. This first demonstrator is full of promise for experts in the fight against fraud,” says Brice Perdrix, CEO of AdvanThink.
“Quandela has developed a quantum machine learning model to improve credit risk assessment. This algorithm also has great potential for detecting payment fraud. The partnership with AdvanThink means that this model can be integrated into an industrial workflow and compared with the best products available on the market”, explains Niccolo Somaschi, co-founder and CEO of Quandela.
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