FRAUD & SECURITY INSIGHTS
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Recent Fraud & Security articles
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Intelligent policing: Are data analytics systems the key to public safety?Police agencies are navigating rapidly changing landscapes, rising data volumes, evolving threats, and growing expectations for transparency and coordination. They can't keep pace if they're dependent on siloed data, aging platforms and legacy practices. Intelligent policing can help. This evolution from reactive to problem-oriented policing relies on shared data, visualization and a scalable analytics ecosystem.
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Detección de fraude y machine learning: qué necesitas saberEl machine learning y la analítica de fraude son componentes fundamentales de un conjunto de herramientas de detección de fraude. Descubre lo que necesitas saber para comenzar a defenderte contra el fraude: desde la integración del machine learning supervisado y no supervisado en las operaciones hasta el mantenimiento del servicio al cliente.
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6 ways big data analytics can improve insurance claims data processingWhy make analytics a part of your insurance claims data processing? Because adding analytics to the claims life cycle can deliver a measurable ROI.
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Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
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How AI and advanced analytics are impacting the financial services industryTop SAS experts weigh in on topics that keep financial leaders up at night – like real-time payments and digital identity. See how advanced analytics and AI can help.
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¡Evita de una vez por todas el fraude en las solicitudes de seguros!Los defraudadores están encantados con lo fácil que es realizar sus transacciones a través de los canales digitales. Las compañías de seguros más inteligentes utilizan datos de esos canales (huella dactilar del dispositivo, dirección IP, geolocalización, etc.) junto con análisis y aprendizaje automático para detectar fraudes en las solicitudes de seguros perpetrados por agentes, clientes y redes de fraude.
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4 strategies that will change your approach to fraud detectionAs fraudulent activity grows and fighting fraud becomes more costly, financial institutions are turning to anti-fraud technology to build better arsenals for fraud detection. Discover four ways to improve your organization's risk posture.
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Know your blind spots in tax fraud preventionTax agencies sometimes miss fraud that's happening right under their noses – despite robust external fraud prevention efforts. Find out where traditional tax fraud prevention and detection efforts fall short, and how analytics can change that.
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Are you covering who you think you’re covering? Payers often don't focus enough on healthcare beneficiary fraud in public and private healthcare plans. Before paying a claim, payers need to ensure beneficiaries are eligible. Advanced analytics applied to a broad range of data can help them accurately detect and prevent beneficiary fraud.
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Containing health care costs: Analytics paves the way to payment integrityTo ensure payment integrity, health care organizations must uncover a broad range of fraud, waste and abuse in claims processing. Data-driven analytics – along with rapid evolutions in the use of computer vision, document vision and text analytics – are making it possible.
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Analytics: A must-have tool for leading the fight on prescription and illicit drug addictionStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
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How to uncover common point of purchaseFraudsters use many techniques to steal card data. Banks that want to stay ahead of common point of purchase (CPP) and contain the costs of fraud need to implement advanced analytics techniques to strengthen their fraud prevention programs.
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Top prepaid card fraud scamsThe margin for prepaid cards is slim, so it's particularly important to root out the scams. Here are some tips for combating and mitigating prepaid card fraud.
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Online payment fraud stops hereBillions of dollars each year are lost to online payment fraud through channels that provide convenient – yet vulnerable – ways to shop and bank. See how to fight back and win with advanced analytics.
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Detect and prevent banking application fraudCredit fraud often starts with a falsified application. That’s why it’s important to use analytics starting at the entrance point. Learn how analytics and machine learning can detect fraud at the point of application by recognizing the biggest challenge – synthetic identities.
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Strengthen your payment fraud defenses with stronger authenticationThe rapid growth of digital wallets and payment applications ushered in many new payment fraud threats. Today, it’s more critical than ever to authenticate users. Learn four innovative to ways strengthen your authentication defenses while reducing false positives and protecting customers’ assets.
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Health care cost containment through big data analyticsHealth insurers are plagued by fraud, waste and abuse. For health care cost containment, an enterprise approach to payment integrity using data management and analytics can help. With this approach, payers can detect and prevent fraud; influence provider, employee and patient behavior; and substantially reduce costs.
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Managing fraud risk: 10 trends you need to watchSynthetic identities, credit washing and income misrepresentation – these are just some of the trends to watch if you’re trying to understand how to manage fraud risk. Find out what’s on the top 10 list of trends according to experts like Frank McKenna and Mary Ann Miller.
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El fraude en pagos evoluciona rápidamente: ¿podemos adelantarnos?El fraude en pagos se produce cuando un delincuente roba la información de pago privada de una persona y luego la utiliza para una transacción ilegal. A medida que las tendencias de pago evolucionan, también lo hacen los estafadores. Los bancos y los proveedores de servicios de pago pueden contraatacar con técnicas de análisis avanzado que se adaptan rápidamente para detectar anomalías en el comportamiento.
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Unemployment fraud meets analytics: Battle lines are clearly drawnMany fraudsters seized opportunities presented by the COVID-19 pandemic. During the crisis, unemployment fraud became a battleground between international criminal networks and government agencies. Learn how analytics can save billions – and deliver benefits to those truly in need.
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