FRAUD & COMPLIANCE INSIGHTS
Protect your data, protect your customers
Recent Fraud & Compliance articles
- Government procurement fraud: Detecting risk, protecting fundsProcurement fraud, waste and abuse cause an average loss of $1.4 million annually per organization, making it rank as one of the top risk concerns among government leaders. A proven way to stay ahead of emerging risks is with continuous monitoring built on automated analytics. Learn what drives procurement fraud, how to spot the warning signs, who commits this type of fraud, and how to close gaps in your procurement risks.
- 4 strategies to change your approach to fraud detectionFraud detection methods must evolve as fraud threats continue to evolve rapidly. See how financial institutions are using analytics and AI to refine their fraud strategies – and discover four ways to improve your organization's risk posture.
- Stemming the tide of VAT fraudValue-added tax (VAT) fraud is a constant pressure on global tax compliance and revenue collection. Even with major strides in digital tax administration, the complexity of VAT systems still creates space for sophisticated schemes to take hold. Governments and tax authorities are stepping up by using advanced analytics, cross-border collaboration and real-time data integration to spot fraud earlier, respond faster and close VAT gaps.
- Containing health care costs To improve payment integrity processes, healthcare organizations rely on trusted analytics to contain costs, reduce administrative burdens, detect fraud in real time, and improve access and quality of care. In addition to data-driven analytics, rapid evolution in computer vision, document vision and text analytics have made it possible.
- Fraud detection and machine learning: What you need to knowMachine learning and fraud analytics are critical components of a fraud detection toolkit. Discover what you’ll need to get started defending against fraud – from integrating supervised and unsupervised machine learning in operations to maintaining customer service.
- 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.
- Conheça 6 formas de utilizar a análise de big data que podem melhorar o processamento dos pedidos de indemnização de segurosPorque é que deve incluir a análise de processamento de dados nos seus pedidos de indemnização de seguros? Porque é que juntar a análise e a AI, ao ciclo de vida dos pedidos de indemnização, pode proporcionar um ROI quantificável.
- Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Detetar e prevenir a fraude nas aplicações bancáriasA fraude nos créditos, por norma, começa por uma candidatura falsa. É por isso que é tão importante usar a análise logo no ponto de partida. Aprenda como a análise e a aprendizagem automática podem detetar fraudes logo nos primeiros pontos de contacto dos pedidos ao reconhecer os maiores desafios – identidades sintéticas.
- 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.
- 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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