Named Best in AML and Fraud Transaction Monitoring Innovation Categories
DataVisor, the world’s leading AI-powered fraud and risk platform, announced that it won two top honors in Datos Insights’ 2025 Fraud & AML Impact awards. DataVisor was named the best in both Transaction Fraud Monitoring and Decisioning Innovation, and AML Transaction Monitoring Innovation categories. This marks the third consecutive year Datos Insights has recognized DataVisor for its innovative solutions. The annual award honors the industry’s most impactful fraud and AML innovations, identifying winners from a highly competitive field, with rigorous evaluation criteria including innovation, competitive advantage, market need, risk mitigation, customer experience, operational efficiency, and scalability.
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Regarding the Best AML Transaction Monitoring Innovation award, Charles Subrt, Fraud & AML Practice Research Director at Datos Insights, said, “DataVisor’s end-to-end platform represents a shift from fragmented, rule-based systems to unified, AI-powered compliance operations that can adapt and evolve with emerging threats… [Its] ensemble detection engine combines the transparency of rule-based logic, the efficiency of supervised machine learning, and the discovery power of proprietary unsupervised machine learning. This combination enables institutions to meet compliance requirements while significantly reducing false positives and uncovering previously undetectable threats.”
Regarding the Best Transaction Fraud Monitoring and Decisioning award, Jim Mortensen, Strategic Advisor in Datos Insights’ Fraud & AML practice, said: “The platform’s AI agent framework represents a shift from traditional fraud detection systems that often rely heavily on manual processes and static rule sets. By embedding intelligent automation throughout the fraud lifecycle, DataVisor enables institutions to operate with high efficiency while maintaining the accuracy and oversight required in financial crime prevention. This approach positions DataVisor at the forefront of the industry’s evolution toward intelligent, adaptive fraud prevention systems.”
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In its recent reports, Datos Insights highlighted a number of critical features and client benefits that position DataVisor’s platform as a standout:
- Significant Fraud Reduction: Comprehensive ensemble approach combines rules, supervised machine learning, and proprietary unsupervised machine learning for broad coverage against known and unknown fraud patterns for a 60% fraud reduction.
- False Positive Reduction: Clients of DataVisor’s AML solutions reported a 42% reduction in transaction monitoring false positives while maintaining 100% detection of true positives through the AI Rule Tuning Agent, significantly improving operational efficiency.
- Real-Time Risk Decisioning For Fraud and AML: The platform processes over 15,000+ QPS with sub-100-millisecond latency, enabling institutions to safely launch and scale real-time payment offerings through instant, intelligent fraud decisions that meet security requirements and enable growth.
- Improved Operational Efficiency: DataVisor’s graph linkage tool, Knowledge Graph, speeds investigations through real-time, interactive visualization of entity relationships and transaction flows, eliminating the need to investigate each case individually.
- Identifies Blind Spots: AI agents evaluate rule effectiveness, monitoring live production data to recommend threshold adjustments and identify where new rules are needed.
- Streamlined Regulatory Reporting: Automated narrative generation and workflow optimization resulted in a 60% reduction in manual effort required for CTR/SAR filing.
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“We are honored to be recognized by Datos Insights and its panel of industry subject matter experts for the third year in a row,” said Yinglian Xie, CEO and Co-founder of DataVisor. “Financial crime continues to grow and evolve. The Datos Impact awards demonstrate our commitment to innovation and delivering best-in-class transaction monitoring capabilities, including Industry-leading real-time infrastructure, powerful AI agents, and unsupervised machine learning, keeping our customers, their partners, and consumers safer from financial crime.”
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Source: businesswire