Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies.
• Detect fraud more accurately with robust data and insights on ever-changing fraud patterns
• Protect your bottom line by reducing fraud and chargebacks
• Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
Credential stuffing is on the rise. Bots are getting smarter and malicious actors are getting more confident. Unfortunately, these advanced cyberattacks are also becoming more difficult to detect with standard security controls.
Learn more about credential stuffing and how you can protect your business, your brand, and your customers from bots that commit fraudulent activity.
An interactive white paper describing how to get smart about insider threat prevention - including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third-party collaboration.
Security breaches are all over the news, and it can be easy to think that all the enemies are outside your organization. But the harsh reality is that more than half of all attacks are caused by either malicious insiders or inadvertent actors.1 In other words, the attacks are instigated by people you’d be likely to trust. And the threats can result in significant financial or reputational losses.
Published By: Teradata
Published Date: Jun 12, 2013
The ever-changing environment has offered fraudsters some tactical advantages to probe for holes in the defenses of financial services companies. Conventional approaches to fraud detection and remediation remain effective to a point, but conventional tools cannot effectively and economically process what is known as big data.
People on the frontlines of public-sector fraud management have considerable need to detect, monitor and prevent fraud in real time. They recognize that speed in analysis, detection, investigations and simulations is the key to minimizing taxpayer dollars lost to fraud. Read the report to learn more.
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures.
Please view this webcast and learn:
- The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes
- The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
The IBM Counter-Fraud Management for Insurance solution is designed to help insurers prevent and intercept attempted fraud while detecting, identifying, and building the case against past fraudulent activity and improper payments.
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively.
Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies.
Download this solution brief to learn more.
this Whitepaper will provide an overview on personalizing customer experiences to pinpointing undetected fraud, to identifying business efficiencies, Intel's Saffron Natural Intelligence Platform helps financial institutions increase revenue and prevent loss.
A perfect storm of legislation, market dynamics, and increasingly sophisticated fraud strategies requires you to be proactive in detecting fraud quicker and more effectively.
TIBCO’s Fraud Management Platform allows you to meet ever-increasing requirements faster than traditional in-house development, easier than off-the-shelf systems, and with more control because you’re in charge of priorities, not a vendor. All this is achieved using a single engine that can combine traditional rules with newer predictive analytics models.
In this webinar you will learn:
Why a fraud management platform is necessary
How to gain an understanding of the components of a fraud management platform
The benefits of implementing a fraud management platform
How the TIBCO platform has helped other companies
Unable to attend live? We got you. Register anyway and receive the recording after the event.
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management:
Investigation teams waste large amounts of time just assembling the data needed to make decisions.
Detection engines are always playing catchup with the latest fraud patterns.
Ever changing regulations increase the time and cost required to reach compliance and meet audit standards.
Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems.
This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
Published By: Mimecast
Published Date: Apr 18, 2017
"Whaling attacks have risen in recent months and these emails are more difficult to detect because they don’t contain a malicious hyperlink or attachment, and rely solely on social-engineering to trick their targets. In order to combat these attacks, organizations must be aware of the dangers presented by whaling, or CEO fraud, and put the right safeguards in place.
Mimecast conducted a whaling attack survey with 500 organizations around the globe and the results were alarming. Read this report to learn:
- The five key phases of a whaling attack
- How to protect your organization from a whaling attack through company exercises, education, and technology.
- What Mimecast is offering to combat these attacks in its industry-leading Targeted Threat Protection service."
Published By: Attachmate
Published Date: Mar 20, 2013
Traditional fraud detection methods, such as application logging, can’t address the scale and sophistication of today’s threats. Find out how to get the visibility you need to better and manage enterprise risk with Luminet.
Published By: Attachmate
Published Date: Mar 20, 2013
Insider threats continue to challenge organizations, particularly as BYOD brings complexity to enterprise risk management. The latest Ponemon research highlights recent trends, risk factors and what organizations need to do now to reduce risk.
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.
Published By: Vertica
Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily
focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections,
they had the need to query and analyze call detail record (CDR) databases that grow by millions of
new CDRs every day.
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts and deploy results to the people who can use the information to eradicate fraud and recoup money.
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.