Explore resources related to fraud, anti-money-laundering and security intelligence.
Fight Fraud and Financial Crimes with Analytics and Artificial Intelligence
To browse resources by type, select an option below.
-
- Select One
- Analyst Report
- E-Book
- Executive Brief
- Fact Sheet
- Industry Overview
- Product Brief
- Overview Brochure
- Solution Brief
- White Paper
- White Paper
- Article
- Blog Post
- Book Excerpt
- Case Study
- Infographic
- Interview
- Research
- Series
- Video
- Webinar
- Customer Story
-
White Paper
Data and Analytics to Combat the Opioid EpidemicPhysicians, patients, policy makers, pharma companies and more must work together to stem the opioid epidemic. But we often don’t have complete data to understand what’s happening and reduce addiction and deaths. This research brief from the International Institute for Analytics and SAS explores how data and predictive analytics can help develop better treatment protocols, both for initial pain and for remediation when patients become dependent on the drugs.
-
Customer Story
Thai bank safeguards customers while managing fraud detection in real timeKrungsri Consumer uses SAS® Fraud Management to find fraud faster and reduce revenue losses.
-
White Paper
Managing the Intelligence Life CycleBecause terrorists and other criminals are already using technology to carry out their missions, intelligence professionals need to access all available, appropriate information, to extract important elements and process, analyze and disseminate it quickly to keep ahead of potential threats.
-
White Paper
Customer Due DiligenceTake a more comprehensive, continuous approach to customer due diligence where risk ratings are always up to date and reflective of the latest demographic and transactional changes.
-
White Paper
Fraud in CommunicationsIn a digital world where everything is available via the web, there’s a whole new level of fraud. Today’s communications providers must be vigilant. This white paper explains how organizations can implement the tools and methods to detect and combat emerging fraud methods.
-
Customer Story
Halting payments to healthcare fraudstersState of Illinois identifies and tackles claims fraud with SAS Analytics.
-
White Paper
Fighting Financial Crime Amidst Growing ComplexityGrowing speed, volume and technological complexities raise the challenges in AML. However, recent developments in artificial intelligence, machine learning and robotic process automation are producing solutions that improve AML programs.
-
White Paper
2016 Digital Channel Threat Report: Derisking Convenience This white paper examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Learn why mobile wallets, real-time peer-to-peer and digital account opening all require the right mix of security solutions, background analytics and personnel to balance positive customer experience with robust fraud protection.
-
White Paper
Developing Scenario Segmentation and Anomaly Detection ModelsAn effective AML transaction monitoring strategy includes segmenting the customer base by analyzing customer activity and risk characteristics in order to monitor them more effectively. This paper discusses how to blend both quantitative and qualitative methods to tune scenarios to identify the activity that poses the most risk to the bank.
-
White Paper
Opportunities for Insurers: Operationalizing Analytics As insurers expand the applications of analytics across business functions – underwriting to claims to marketing – they have to master the basics: quality data, business and analytical skills, and focused strategy. To explore what it takes to operationalize analytics in the insurance industry, IIA spoke with Jim Hulett, Insurance Solutions Consultant in the Global Security Intelligence Practice at SAS.
-
Customer Story
A risk-based approach to combat money laundering in IsraelSAS Anti-Money Laundering helps Ayalon Insurance monitor suspicious activity and meet challenging regulatory requirements.
-
White Paper
The State of Insurance Fraud TechnologyFor the third consecutive time in six years, insurers report increasing amounts of suspected fraud. Nearly three-quarters of insurers in the 2018 survey say fraud has increased, an 11-point increase since 2014. The expansion in anti-fraud technology does have growth pains, however. Insurers report increased frustration with integrating data into their systems and continuing problems with high levels of false positives.
-
White Paper
Using Modern Analytics to Save Government Programs MillionsNext-generation analytic tools from SAS cut across data and program silos and empower investigators to go on the offensive with fraud operators – without disrupting the efficient and timely delivery of benefits, services or tax refunds.
-
Analyst Report
How Data Science Teams Leverage Machine Learning and Other Advanced AnalyticsGartner's 2017 customer reference survey for data science and machine learning platforms reveals how many organizations are undertaking data science initiatives.
-
White Paper
What is next-generation AML? The fight against financial crime fortified with robotics, semantic analysis and artificial intelligence
-
White Paper
Managing Fraud Risk in the Digital Age The rise of mobile and online transactions introduces new fraud risks. Retailers and payment processors must adapt their anti-fraud defenses, augmenting them with stronger, analytics-driven authentication, proactive detection and mitigation tools.
-
White Paper
Analytics to Fight Tax FraudThis discussion summary from the International Institute for Analytics featuring SAS explores the challenges, opportunities and value of tax fraud analytics.
-
White Paper
Making A Difference With DataPublic sector data analysts spend 47 percent of their time collecting and organizing data, but less than one-third of their time gleaning insights from it. That’s problematic because, if you’re a government agency, data analysis is one the most powerful tools you have for serving citizens.
-
Customer Story
Q&A: Roberto Benassi on detecting, preventing insurance fraudDetecting, preventing insurance claims fraud is the foundation of upstart property and casualty insurer's strategy to compete with market leaders.
-
Customer Story
Analytics powers anti-money laundering effortsSAS helps Landsbankinn reduce false positives and streamline investigation.
-
White Paper
Data, analytics and machine learning: The new frontier of fraud preventionThe Economist explores how global financial institutions are using advanced technologies such as machine learning to support fraud and security intelligence.
-
Article
What do drones, AI and proactive policing have in common?Law enforcement and public safety agencies must wrangle diverse data sets to be effective in their operations. Intelligence analysts are using that data to apply machine learning and AI for more proactive policing.
-
White Paper
The Impact of the Underground Economy, and How Analytics Can Fight ItSAS fraud specialists discuss how government agencies can find underground economy activities -- and the tax obligations not reported from them.
-
White Paper
Enterprise Risk Mitigation for Community Banks To help meet fraud and AML challenges, SAS and Jack Henry Associates have partnered to offer JHA Enterprise Risk Mitigation Solutions™ (ERMS), a cloud-based customization of SAS Visual Investigator that converges fraud detection and AML compliance in a single, intuitive, visual workspace.
-
Article
The state of insurance fraud technologyA 2019 Coalition Against Insurance Fraud study surveyed 84 companies on their use of anti-fraud technologies and compared results to 2014 and 2016. Get the highlights here.
-
White Paper
Tracking Fraud & Abuse Across the NationAdvanced fraud schemes are shaking the faith government leaders have in traditional fraud -fighting techniques. And a recent report by the Government Accountability Office supports their concerns: In 2015, government agencies lost $124.7 billion to fraud. That’s up 18 percent in one year.
-
White Paper
Banking Application Fraud: The Enemy at the GatesFind out how you can connect the dots from day one by creating multiple levels of detection that use different analytical techniques to identify both known and unknown patterns, yet one that can evolve and adapt with time.
-
E-Book
Fight Fraud and Financial Crimes With Analytics and Artificial IntelligenceFraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security.
-
White Paper
Stronger Cybersecurity Starts with Data ManagementCybersecurity professionals are changing their focus from prevention to detection. This paper describes how security analytics and proper data management help organizations quickly identify and investigate abnormal network behavior.
-
White Paper
What's Next in Local Government? A special report from Government Executive’s Route Fifty and the International City/County Management Association (ICMA), features the rising stars and big ideas advancing local government now and in the future.
-
Analyst Report
Under the Spotlight: Innovative Vendors in Financial Crime Case Management TechnologyCelent's Under the Spotlight: Innovative Vendors in Financial Crime Case Management Technology
-
Article
Anti-money laundering and counter-terrorist financingTo monitor for financial crimes, an essential element for both anti-money laundering and counter-terrorist financing is using data analysis to detect unusual activity during processing by monitoring transactions, customers and the network of behaviors.
-
White Paper
Detecting and Preventing Banking Application FraudSince credit fraud often starts with a falsified application, it makes sense to have strong tools to monitor loans and credit lines from that point onward. This paper discusses analytics-driven methods for validating applications and spotting trouble multiple stages.
-
White Paper
How to Succeed With Fraud AnalyticsAny large organization that could be a target for fraud has vast resources of data that could power an analytics-driven defense. Find out about the three pillars of analytics success, the eight realities that are reshaping the fraud management environment, and six ways to make a solid business case for funding a new or upgraded fraud analytics program.
-
White Paper
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism See how artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) are helping firms overcome the challenges, improve results and make AML/CFT programs more efficient and effective.
-
White Paper
Anti-Fraud Technology As criminals find new ways to exploit technology and target potential victims, anti-fraud professionals must adopt new technologies to effectively navigate the evolving threat landscape.
-
White Paper
Leveraging Analytics to Combat Digital Fraud in Financial OrganizationsInternational Institute for Analytics summarizes key questions and answers about financial fraud in the digital age.
-
White Paper
When Seconds Count: How Security Analytics Improves Cybersecurity DefensesLearn about successes and roadblocks in the effort to improve cybersecurity defense in this report, which discusses the findings of a Ponemon Institute research study to determine the experience of adopting security analytics as part of an organization's cybersecurity strategy and the impact to security postures.
-
White Paper
Operationalizing Analytics for Intelligent Fraud Detection and Case ManagementAs fraudsters scale up, prevention becomes more challenging. To discuss how advanced analytics helps prevent fraud, IIA spoke with Gordon Robinson, Director, Fraud and Security Intelligence at SAS.
-
Article
Taking pre-emptive action to stem the tide of VAT fraud lossesEU countries lost an estimated €159.5 billion in VAT revenues to VAT fraud in 2014. The solution? Hybrid fraud analytics technology.
-
White Paper
Taking the Risk Out of ConvenienceMobile wallets, real-time peer-to-peer (P2P) payments and digital account opening bring new opportunities – and new forms of risk. Javelin shows how financial institutions must adapt their fraud strategies accordingly.
-
White Paper
Detect and Prevent Identity Theft The explosion in e-commerce and online account opening has created new convenience and choice for consumers. At the same time, large-scale data breaches have created new opportunities for fraudsters, fueling an 8-percent increase in identity theft in a single year. Find out how to fight back, without hindering your good customers.
-
Article
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.
-
Customer Story
Preventing crime and ensuring compliance at 120 Nordic banksSDC enables small and medium financial institutions in four Nordic countries to stay compliant.
-
White Paper
Government Procurement OfficesFind better ways to address fraud, waste and abuse – and respond more effectively to budget cuts – by using SAS to help you achieve new levels of fiscal responsibility.
-
Article
How AI and advanced analytics are impacting the financial services industryTop SAS experts weigh in on the topics that are keeping institutions up at night and fraudsters in a job.
-
White Paper
Fighting Customs FraudCustoms officers have an increasingly difficult job in detecting fraud. The volume of trade is rising, manpower is tight, and the complexity of customs tariffs is at an all-time high. Customs authorities need methods that can detect and predict fraudulent loopholes before organized crime can maximize their exploitation. There is growing pressure from government bodies and international trade associations for new approaches to detect, prevent and punish customs fraud.
-
White Paper
Online Fraud: Increased Threats in a Real-Time WorldWith fraudsters capable of circumventing banks’ existing authentication systems, the need for sophisticated analytics technology that enables investigators to take proactive action to eliminate online fraud at the source is becoming ever more acute.
-
White Paper
How Advanced Analytics Can Prevent Medicaid Fraud Medicaid fraud is prevalent, costly and difficult to prevent. With a combination of more integrated data and advanced analytics, state agencies can turn the tables on fraudsters. They can accelerate the transition from detection to prevention, as new forms of fraud are recognized faster and fewer improper payments go out the door.
-
White Paper
Close the Detection Deficit with Security AnalyticsExplore how security analytics can transform the way we understand threats that confront organizations of all sizes. Learn why analytical tools are becoming increasingly crucial to the enterprise security conversation.
-
White Paper
How AI and Machine Learning Are Redefining Anti-Money LaunderingMachine learning can play a big role in the defense against money laundering, either to automate tasks that formerly required human intervention, such as managing the data to train models, or detect more financial crimes risk that rules and more basic analytic techniques might miss.
-
Article
Know your blind spots in tax fraud preventionWhat can tax agencies do differently today than just a few years ago? Find out where fraud may lurk inside your agency – and the role analytics can play in tax fraud prevention.
-
White Paper
The Threat From WithinGovernment Business Council and SAS highlight federal case studies and discuss how analytics can be used to vigilantly guard against outside and inside threats.
-
White Paper
Procurement Integrity Powered by Continuous Data MonitoringWhy do many otherwise well-intentioned employees feel tempted to commit fraud today – and end up being successful for so long? Explore how you can change this using SAS for Procurement Integrity.
-
White Paper
Enhancing AML Efficiency and EffectivenessCelent discusses how banks are adopting artificial intelligence, machine learning and robotic process automation, including the benefits and key lessons learned. The paper explores considerations for AI adoption and future benefits for the AML industry.
-
White Paper
Reducing Fraud in Government Services: Analytics to Find and Fight the FraudstersA discussion summary from International Institute for Analytics
-
White Paper
Best Practices in Transaction Monitoring Scenario Threshold Tuning and Model VerificationLearn about a best practices approach to performing scenario verification and threshold tuning projects for BSA/AML transaction monitoring systems.
-
Customer Story
Cracking down on insurance claims fraudSBM sees fraud-detection rates improve fivefold with SAS Detection and Investigation for Insurance, enabling insurers to save millions of dollars.
-
White Paper
Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
-
White Paper
Fighting Insurance Application Fraud Learn about the advantages of using analytics-driven methods for authenticating applicants to reveal customer gaming, agent gaming and potential future claims fraud.
-
White Paper
Simplifying Fraud Analytics: 10 Steps to Detect and Prevent Insurance FraudTraditional fraud detection systems tend to focus on opportunistic or soft fraud – when an individual takes advantage of a situation to pay a lower premium or exaggerate a claim. But hard fraud perpetrated by organized crime rings is growing – and so is the sophistication and velocity of attacks. Insurers that follow the 10 steps outlined in this paper offer the best chance for detecting both opportunistic and organized fraud.
-
Analyst Report
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2019SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2019
-
White Paper
Balancing Fraud Detection and the Customer Experience Customers of a digital business create an intricate online footprint as they transact online. Businesses that capture and truly understand a complete identity based on online and offline attributes can seamlessly authenticate good customers and reliably spot the fraudulent or hijacked identities – in real time.
-
White Paper
Using Analytics to Proactively Deter Insider ThreatsExplore the risk of insider threats within government agencies and discuss why a hybrid analytical approach is critical to protecting agencies against such threats.
-
White Paper
Keeping Fraud Detection Software Aligned With the Latest ThreatsLearn how SAS enables end users to keep fraud detection software current and able to detect new threats.
-
White Paper
An Enterprise Approach to Fraud Detection and Prevention in GovernmentA research brief from International Institute for Analytics
-
Article
Top 5 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.
-
E-Book
Your real-world guide to combating cyberthreatsFind and stop risks inside your network with analytics
-
White Paper
Customer Experience: The Flip Side of the Fraud Detection CoinSee how analytics enables banks to balance risk with customer demand for fast access to deposits.
-
Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur -
White Paper
Achieving Program Integrity for Health Care Cost Containment OperationsLear how taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs.
-
White Paper
AML Customer Risk RatingThis paper is geared toward the technical audience to describe the benefits of, and how to adopt, statistical modeling for AML and CDD.
-
Customer Story
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
-
Article
Strengthen your payment fraud defenses with stronger authenticationThe rapid growth of digital wallets and payment applications has ushered in new payment fraud threats to consumers and organizations. Find out how the use of innovative technologies to combat payment fraud is a viable and effective solution with additional benefits.
-
Article
Next generation anti-money laundering: robotics, semantic analysis and AIAnti-money laundering taken to its next level is sometimes referred to as AML 2.0 or AML 3.0. What does this next wave of AML technology look like? What can it do that you can’t do with traditional AML? See the results innovative financial institutions around the globe are already getting.
-
White Paper
Faces of FraudSixty-seven percent of organizations say it takes one day or more to uncover a fraud incident once it occurs. How does your organization compare? Faces of Fraud: The Analytics Approach to Fraud Prevention, a survey report by ISMG (Information Security Media Group) and sponsored by SAS, captures the current state of fraud prevention in organizations today.
-
White Paper
Analytics and the AML Paradigm ShiftFinancial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools.
-
Article
Small-time cheats and organized crime: Benefits fraud re-examinedTo combat benefits fraud, better utilize resources and improve ROI, analytics can detect organized crime rings rather than just small-time fraudsters.
