FRAUD & SECURITY INSIGHTS
Protect your data, protect your customers
Recent Fraud & Security articles
- Analytics can help prevent substance use disorder and over-prescribingStates 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.
- Fraud detection and machine learning: What you need to knowFrom integrating throughout operations to maintaining customer service, machine learning – supervised and unsupervised – is a critical part of the fraud detection toolkit. Here’s what you’ll need to consider to get started.
- Proactive detection – A new approach to counter terrorTo counter terror, investigative teams can better utilize the data they already have by applying a fresh approach with these steps to proactive detection.
- Stop contract and procurement fraudFraud affects an estimated 30 percent of organizations' procurement processes. Beyond business rules and anomaly detection, analytics can detect and prevent fraud and preserve the integrity of the procurement process.
- Data management for cybersecurity: Know the essentialsSecurity teams tend to underestimate the importance of data management for cybersecurity. See the seven key reasons data management has been so difficult and five steps to getting it right.
- Analytics for prescription drug monitoringPrescription drug monitoring programs (PDMPs) are a great start in combating abuse of prescription drugs, but they could be doing much more. Better data and analytics can inform better treatment protocols, provider education and policy decisions – and save lives.
- The online payment fraud stops hereBillions of dollars a 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.
- The case for cybersecurity analyticsCombining cybersecurity with analytics helps you understand how people are trying to access your systems. Learn how analytics can augment your security program.
- A modern cybersecurity strategy: Building a budgetA cybersecurity strategy requires more than just executive support. Learn how IT can get the tools and training designed to protect you from modern threats.
- Five trends in fraud solutionsLeading financial firms are adopting fraud solutions that use Big Data, high-performance computing and hybrid analytics to more effectively detect threats as they emerge and to run more efficient investigations.
- Is it case management or alert management?Both AML and payments fraud generate alerts and each handles them in different ways. It’s paramount that fraud professionals, vendor representatives and others come to a common understanding of the two terms: case management and alert management.
- Blind to the black swan theory? How a centralized approach applying analytics to financial crime prevention can protect against the unexpected.
- Don’t let data management issues derail your insurance fraud analytics projectA few data management considerations for your insurance fraud analytics project can improve fraud detection rates, decrease false positives and lead to better investigation outcomes.
- Bridge the gap between financial crime analytics and investigationsHow to manage the escalating analytic demand required to run financial crime platforms.
- An executive perspective on risk and fraudHSBC's global risk COO on how the world’s second-largest bank uses data management, analytics and industry expertise to tackle financial crime and more.
- Are we in control?Banks are undergoing a crisis in profitability. This calls for a fundamental transformation of control and compliance.
- Online fraud: Increased threats in a real-time worldOnline and mobile banking is convenient for customers -- and an opportunity for fraudsters. With fraud methods constantly evolving, an analytical approach is a must for banks seeking early, accurate detection.
- Taking pre-emptive action to stem the tide of VAT fraud lossesEU countries lost an estimated €177 billion in VAT revenues in 2012. The solution? Hybrid analytics technology.
- Talking trade: Money laundering and fraud – the silent side of trade financeTrade finance fraud costs millions. Agencies are overwhelmed with data, much of which is unstructured. Here's how Hadoop combined with analytics could help.
- Transaction monitoring: To segment or not?A typical anti-money laundering transaction monitoring program has scenarios that monitor the customers and accounts that pose the most risk. The fact is … this one-size-fits-all methodology isn’t very effective because customers transact differently based on many factors. So how do you incorporate that into your program?
Send SAS Insights straight to your inbox