fraud

Learn why an Enterprise Fraud Management Platform allows for data to be shared more efficiently while simultaneously applying analytics to prioritize workflows, which will increase productivity per employee and assist insurers in detecting emergent fraud patterns in order to reduce loses.

Web-based systems are essential tools for running business processes and delivering services to customers. However, phishing and online fraud undermine customer confidence. In addition, Web security remains a top concern because of constantly evolving threats. Learn more about mitigating these web security risks with SSL Certificates in this IDC Technology Spotlight white paper

Security breaches can happen anywhere in an organization, and having the ability to analyze any form of data can give you the edge against fraud, theft, and infiltration by pinpointing abnormal behavior patterns. Understanding your security vulnerabilities requires rapid, deep analytics against business data, machine data, and unstructured human information.

"ACG Michigan, a large auto insurance underwriter in the US state of Michigan, needed a user-friendly system that would enable its agents (internal and independent) to churn out precise and consistent policy quotes and underwriting decisions. They turned to FICO Blaze Advisor decision rules management system to create an enterprise decision management framework to execute decisions. Learn more on how FICO Blaze Advisor helped ACG Michigan automate its underwriting About FICO FICO (NYSE: FICO), formerly known as Fair Isaac, is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company's groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimiz

Millions in losses, millions more in fines. Yet research shows 82% of travel and entertainment fraud is committed by just 5% of employees. This eBook explains what’s at stake and how automating expense reports can uncover fraud or head it off before it happens, and help employees make the right choices.

Interpol reports social engineering as the “broad term that refers to the scams used by criminals to trick, deceive and manipulate their victims into giving out confidential information and funds.” Scammers use sophisticated psychological manipulation techniques to build a level of trust with their victim, having them divulge confidential information or authenticate the fraudulent activity as genuine. They will typically claim to be from the bank or well known and trusted consumer brands.

A2P (Application to Person) messaging has underpinned this transformation, across a wealth of new use cases and new verticals. Historically, A2P was used for alerts and, as PSMS (Premium SMS), as a billing mechanism and carrier for simple content and services, both for one-off downloads or actions (eg voting) and for recurring payments. The latter use case has declined markedly in the past 5 years, due largely to the transition to an app-based economy, largely driven by card billing and by regulatory action (in markets such as the US and UK) against fraudsters.

The basic promise of blockchain is that it works as a global distributed ledger or database of things we value - everything from money, to creative work and votes - so these can then be managed and transacted in a trusted and secure manner. Yes, blockchain is a young technology, but well past its infancy. Today, the somewhat inflated expectations around the technology have been brought to a more realistic level and we are beginning to see practical applications across the enterprise. Although these are typically in the realm of reducing cost and/or time for transactions, improving product and system security, finding and preventing fraud and counterfeiting and increasing transparency, there are also instances of businesses relying on blockchain to create new revenue streams. Infosys recently commissioned an independent survey of senior executives worldwide. Download the report to read about their findings.

Fintechs and challenger banks have put a dent in the financial services universe. By developing compelling new products, services and experiences, these companies have set a new standard and raised customers expectations. While traditional banks work to meet these raised expectations, the challenge for new market entrants is turning their beachheads into sustainable, profitable businesses. FICO facilitates this transformation with a set of industry-leading fraud management capabilities.

: FICO commissioned an independent research study by TM Forum to look at how global telecommunication providers are using (and plan to use) machine learning and advanced analytics to improve the customer experience in credit risk and beyond. This in-depth report includes key insights from a global survey as well as executive interviews with leading communication service providers such as Telstra, Vodafone, Sky, Globe Telecom, and BT on their vision for leveraging artificial intelligence to stop fraud, better engage customers across channels, improve risk management, and drive collection results. Read this report to understand: o What CSPs see as the biggest drivers for deploying advanced analytics over the next two years o How and where BT, Globe Telecom, Vodafone UK, Sky and Telstra are using analytics, from marketing through origination o The opportunities and pitfalls around financing devices as opposed to or in addition to subsidising them o The scope for analytics to improve c

There is a proliferation of payment methods that provide people with faster ways to make and receive payments – but they are not all the same. Understanding the differences and unique characteristics of different 'fast' payment types is vital to those who need to develop and service payments fraud strategy. Download our executive brief to understand: The differences between real-time payment schemes, e-wallets and person to person payments The implications on fraud from the fast transfer of money Where to start building your real-time payments fraud strategy

Fraud is a serious concern for the communications industry, with proceeds and services used by organised crime and terrorist networks. Whilst reliable statistics are difficult to come by, industry association Communications Fraud Control Association (CFCA) estimates the total global fraud loss at around $29bn annually. Of this, over $7bn is attributed to subscription fraud and account takeover. In an industry which is undergoing widespread digital transformation to streamline customer journeys and reduce operating costs through automation, preventing fraud is critical. Learn More

Telecommunications companies lost more than $29 billion to consumer fraud in 2017 globally (1.27% of their revenues). The largest and most advanced communications service providers (CSPs) have sophisticated fraud detection systems and processes in place, but those organizations are now questioning their fraud readiness. Are they doing enough? Fraudsters may be individuals or increasingly sophisticated criminal networks. They constantly develop new methods and target new lines of business Read this interview where Anat Hoida, Head of the FICO’s Telecom Practice in Europe, Middle East, and Africa, discusses the impacts of the evolving spectrum of fraud risks on the growth and competitiveness of CSPs globally.

Real-time payments mean real-time fraud – how will you adapt your fraud strategies? The roll out of real-time payment schemes has bought advantages to criminals as well as to people and businesses. Those countries that have already adopted real-time payment schemes have seen a rise in fraud including authorised push payment fraud and account takeover as well as a rise in money laundering, particularly the use of mule accounts. This executive brief looks at the impact of real-time payments on fraud and examines the changes to fraud strategy and solutions to keep it under control including: The need to assess payments for fraud in real-time. How to protect customers from authorised push payment fraud. The machine learning approaches that can underpin a successful fraud strategy that protects both banks and their customers. Download now

Hay una proliferación de métodos de pago que nos proporcionan formas más rápidas de hacer y recibir pagos, pero todos no son iguales. Entender las diferencias y características únicas de los diferentes tipos de pagos "rápidos" es crítico para los equipos encargados de velar por el fraude en las transacciones. Descargue nuestro whitepaper para entender: • Las diferencias entre las transacciones en tiempo real, los monederos electrónicos y los pagos de persona a persona • Las implicaciones que las transacciones “rápidas” tienen sobre el fraude • Cómo planificar su estrategia Anti-fraude en las transacciones en tiempo real

La implantación de sistemas de pago en tiempo real ha supuesto ventajas tanto para las personas y las empresas como para los delincuentes. Los países que ya han adoptado sistemas de transacciones en tiempo real han experimentado un aumento del fraude, incluido el fraude APP -Authorised Push Payment- y el fraude por apropiación indebida -Account Takeover-, así como un aumento del blanqueo de dinero, en particular el uso de cuentas de mula. Este whitepaper analiza el impacto que las transacciones en tiempo real tienen sobre el fraude y examina los cambios en las estrategias Antifraude aportando soluciones para mantenerlo bajo control, incluyendo: - La necesidad de evaluar las transacciones en tiempo real para detectar fraude - Cómo proteger a los clientes de los fraudes en las transacciones push -El papel del Machine Learning en las estrategias Antifraude.

What actually is Threat Intelligence? How are other organisations benefiting from it? How can threat intelligence strengthen all the teams in a cybersecurity organization? Find these answers in this book! Offering practical advices that you can dip into as and when you need, so you should feel free to jump straight into the chapter that interests you most. Our hope is that you will begin to see more of the ways that threat intelligence can solve real-world security problems. In this handbook uncover: - The kinds of threat intelligence that are useful to security teams and how each team can use that intelligence to solve problems and address challenges - How security analysts in the real world use threat intelligence to decide what alerts to investigate, what incidents to escalate and what vulnerabilities to patch - How information collected outside of the enterprise can help model risks more accurately and prevent fraud And more.

What actually is Threat Intelligence? How are other organisations benefiting from it? How can threat intelligence strengthen all the teams in a cybersecurity organization? Find these answers in this book! Offering practical advices that you can dip into as and when you need, so you should feel free to jump straight into the chapter that interests you most. Our hope is that you will begin to see more of the ways that threat intelligence can solve real-world security problems. In this handbook uncover: - The kinds of threat intelligence that are useful to security teams and how each team can use that intelligence to solve problems and address challenges - How security analysts in the real world use threat intelligence to decide what alerts to investigate, what incidents to escalate and what vulnerabilities to patch - How information collected outside of the enterprise can help model risks more accurately and prevent fraud And more

What actually is Threat Intelligence? How are other organisations benefiting from it? How can threat intelligence strengthen all the teams in a cybersecurity organization? Find these answers in this book! Offering practical advices that you can dip into as and when you need, so you should feel free to jump straight into the chapter that interests you most. Our hope is that you will begin to see more of the ways that threat intelligence can solve real-world security problems. In this handbook uncover: - The kinds of threat intelligence that are useful to security teams and how each team can use that intelligence to solve problems and address challenges - How security analysts in the real world use threat intelligence to decide what alerts to investigate, what incidents to escalate and what vulnerabilities to patch - How information collected outside of the enterprise can help model risks more accurately and prevent fraud And more

Financial services organizations have a unique relationship with technology: electronic data and transactions are the core of this industry. Financial services firms remain vigilant because they are constantly under attack. Hackers that gain access to customer accounts or financial data can profit either by using it themselves or by selling it to other criminal organizations. - There are many differences between perception and reality when it comes to security in this industry. For example, its emphasis on fraud prevention creates the perception that financial services is highly evolved in terms of its security readiness. However, this study finds that financial services firms’ security is on a par with the security of firms in other industries. - Regulations may lead to change and investments, but they also take time to take effect. Organizations should not wait for such requirements before they make improvements. Neither should they assume that compliance gives them full protection. Regulations cannot cover every aspect in such a fast-paced environment.

Fraud preventative solutions are designed to avert new accounts fraud before it occurs. The strategic advantage of fraud prevention therefore lies in the ability avoid losses to institutions and consumers.

Changement des pratiques de détection et de prévention des fraudes dans les banques et les services financiers

As many retailers know, fraud can be disguised by training issues and vice versa. So how do you determine fraud versus training issues and take institutional or tribal knowledge and build meaningful reports for end users? This e-book from Oracle Retail discusses the use case for expection-based reporting with specific examples and recommendations.

In the spring of 2015, 4 employees from the company’s primary manufacturing plant discovered that fraudulent tax returns had been filed using their names, addresses and social security numbers. These were random incidents and not the result of a company data breach. After repeated attempts involving many hours trying to personally remediate the problem, the employees turned to the head of HR for aid in resolving the situation.

At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform providers are rethinking databases for scalable, elastic environments and commodity infrastructure. The platform that is most comparable is Google Cloud Spanner, but each of these databases is engineered for different purposes: Cosmos DB as a globally distributed operational database and Spanner as a globally distributed SQL-supporting OLTP database. The highlights of Cosmos DB include its flexibility in