aiReflex
Fraud.com's aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud & improve customer trust.
The detection layer analyses your transactional data in real-time to deliver unmatched risk-scoring accuracy. The multi-layer defence identifies suspicious transactions using our adaptive machine learning algorithms, adaptive rules & next-generational behavioural engine to create hyper granular profiles for every individual to identify abnormal behaviour.
aiReflex's Response layer manages fraud centrally via an omnichannel case manager, automating tasks & decision-making to reduce fraud, friction & fraud team inefficiencies. Investigators become superheroes with a 360-degree view of the customer and explainable AI to manage a case with great accuracy & speed, with intelligent search, reporting, queue management & link analysis.
Contact us at fraud.com to learn how we can improve your fraud defences.
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Crystal Blockchain
Crystal is the all-in-one blockchain investigative tool. Designed for law enforcement and financial institutions, Crystal provides a comprehensive view of the public blockchain ecosystem and uses advanced analytics and data scraping to map suspicious transactions and related entities. Whether it is tracking a bitcoin transaction to a real-world entity, determining relationships between known criminal actors, or surveying suspicious online behavior, Crystal can help move your investigation forward. Crystal provides crypto transaction analysis and monitoring for exchange, bank, and FI AML compliance requirements. We design best-in-class analytics and investigation solutions to make the blockchain transparent for crypto businesses, banks, financial institutions, and government and law agencies. We analyze and monitor blockchain transactions. We notify you of potentially irregular activities. We help you to comply with regional regulations.
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Ripjar
Ripjar is an AI-driven risk and compliance intelligence platform that helps enterprises, financial institutions, governments, and security teams detect, monitor, and investigate threats and risks across people, entities, and data at scale. Its products combine advanced machine learning, natural language processing, and entity resolution to integrate and analyze structured and unstructured data, including sanctions lists, watchlists, adverse media, internal records, transactions, and third-party sources, to produce dynamic risk profiles that update in real time and significantly reduce false positives and false negatives compared with traditional screening systems. Ripjar’s solutions include AML name screening & monitoring that consolidates disparate compliance outputs into a unified view; adverse media screening to surface reputational and hidden risk signals; and third-party risk management to continuously assess compliance, ethical, prudential, and supply-chain risks.
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LexisNexis AML Insight
AML Insight™ is an advanced anti-money laundering (AML) solution from LexisNexis, designed to assist financial institutions in detecting, investigating, and reporting suspicious activities. The platform leverages data analytics and artificial intelligence to provide real-time insights and comprehensive monitoring of transactional activities. AML Insight helps organizations identify and manage high-risk individuals, businesses, and transactions by conducting detailed risk assessments and screening against global watchlists. With a focus on regulatory compliance, AML Insight ensures that financial institutions can effectively combat money laundering while enhancing operational efficiency.
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