ArangoDB plays a key role in the financial anti-fraud space, helping organizations move from traditional rule-based approaches to deep relationship insights. In the face of increasingly complex and insidious fraud networks, traditional risk control systems have been overwhelmed by the lack of a global perspective, lagging rule updates, and challenges in cross-system integration, ArangoDB, through its unique native multi-model (graphs, files, vectors) capabilities, integrates fragmented customer information, transaction behavior, and device fingerprints to achieve an integrated analysis of "Relationships + Behavior + Patterns Identification". This not only significantly improves the speed and accuracy of fraud identification, reduces decision-making delays and maintenance costs, but also empowers financial institutions with the ability to proactively prevent and comprehensively understand risks, opening a new chapter in financial anti-fraud.