Financial fraud is becoming more organized, automated, and harder to detect with traditional tools. Most fraud detection systems look at transactions on at a time – one login, one payment, or one device – which creates blind spots that professional fraud groups can exploit. By coordinating thousands of small and seemingly unrelated actions across many accounts, attackers hide their activity in the connections between users rather than in single events.
The Fraud Detection in Payments project addresses this challenge by viewing digital financial activity as a network of connected relationships. This graph‑based approach makes it possible to move from reactive monitoring to proactive cyber defense. It helps protect critical Nordic payment infrastructure, supports citizens’ financial security, and strengthens technological independence through a Danish‑owned solution aligned with European standards for transparency, AI ethics, and data privacy.
