New! Omni-Channel Fraud Prevention

Preventing Business Email Compromise Fraud with Guardian Analytics Real-Time ...

Behavioral Analytics for Preventing Fraud Today and Tomorrow

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The document summarizes Guardian Analytics' wire fraud protection solution. It discusses the rise of business email compromise (BEC) wire fraud, with funds lost increasing over 400% from 2015 to 2016. Guardian Analytics protects customers of the Fiserv wire transfer platform WireXchange through real-time risk scoring of wire transactions. This solution has successfully prevented millions of dollars in fraudulent wires for various banks and credit unions. The document promotes Guardian Analytics' fraud detection capabilities and provides customer testimonials and a diagram of how its real-time wire monitoring works integrated with the WireXchange system.

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This document summarizes the capabilities of Guardian Analytics' machine learning and behavioral analytics solutions for financial fraud detection compared to Actimize. It states that Guardian Analytics offers omni-channel visibility, behavioral analytics that require no rules, and machine learning that continuously updates models without human intervention. It also provides rapid deployment, flexible hosting options, visual analytics, and integrates risk data from multiple sources. In contrast, it describes Actimize as having poor user interfaces, requiring extensive rule maintenance, long deployments, and high costs.

Business Email Compromise Scam

ISMG - Fighting Business Email Compromise

The document discusses behavioral analytics for preventing fraud. It summarizes a presentation by Anand Sureka of Guardian Analytics on using behavioral analytics to detect fraud across channels in real-time. It provides examples of how Guardian Analytics' solutions use machine learning on over 100 attributes to generate risk scores for transactions and prevent fraud like business email compromise and account takeover. It highlights case studies where banks saw millions in fraud prevented and significant reductions in manual review volumes and call backs.

This document discusses fraud prevention using a multi-channel approach. It describes how Guardian Analytics uses machine learning to analyze user behaviors and flag anomalous activities to prevent fraud. The document includes case studies showing how Guardian Analytics helped Star One Credit Union prevent fraud, including a case where $98k was prevented from being stolen and other cases where fraudulent transactions were blocked. Star One reports that working with Guardian Analytics has brought online fraud losses to near zero while keeping false positive and customer impact low.

Preventing P2P Fraud with Aite Group

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The document discusses Guardian Analytics, a company that provides a real-time digital banking fraud detection solution using behavioral machine learning. The solution detects fraud early by analyzing non-transactional user activities and assigning risk scores. This enables friction-right authentication that adds appropriate security based on risk without compromising user experience. The solution also allows fraud analysts to efficiently investigate cases and gain insights from an open fraud and anti-money laundering platform.

Detecting Wire Fraud in Real-Time

Same day ach bec fraud detection prevention webinar 3 1-18

The document discusses how to detect and prevent same day ACH BEC fraud. It provides an agenda that includes an introduction, why this matters, dissecting the fraud scheme, and why the company is unique in analyzing this type of fraud. It then describes the fraud scheme, including how hackers target executive emails, validate the emails, and fingerprint the victim's digital profile. It outlines the process from the BEC scam to fraudulent same day ACH batches. It discusses key risk factors the company looks for and how it uses machine learning and behavioral analytics to automatically establish baselines and risk score ACH batches.

Preventing ATO in a Post-Equifax Breach World

Although the recent Equifax breach that reportedly compromised 143 million accounts has sent consumers scrambling to protect their assets, financial institutions and corporations are likely to feel the impending effects of this attack as well. It is predicted there will be a surge in social engineering and BEC scams, as the hackers now have a wealth of information needed to impersonate individuals and corporate entities in a variety of contexts. However, the right strategic approach and technology solutions can effectively mitigate the fraud risk. In this webinar, guest speaker Andras Cser, VP, Principal Analyst in Security & Risk from Forrester Research, will provide an expert industry perspective and discuss what financial institutions and corporations can do to protect themselves. You will gain insight into how organizations are raising their defenses, understand the best practices to minimize fraud loss, and learn how advanced analytics solutions can help minimize the risk.

Preventing Fraud with a Multi-Channel Approach

Northwest Card Association

Join Star One Credit Union, a financial institution with more than $9B in assets, as they discuss how they leverage their Guardian Analytics financial crime prevention platform to detect anomalies and suspicious activity in their online, mobile, and payments channels. In these slides, Margarete Mucker, EVP of Operations from Star One Credit Union, shares what her organization is doing to protect their members from fraud.

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Accurate enterprise-wide data combined with data-driven fraud analytics can have a transformational effect on banking and related industries. This presentation provides tips and insights on using technologies like neural network predictive modeling, user behavior-based pattern recognition and statistical big data analytics to reduce the risk of fraudulent activities in the enterprise. For more information on CA Security solutions, please visit: http://bit.ly/10WHYDm

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Vadis Technologies offers data analytics and risk monitoring services through its Flair platform to help clients gain insights on third parties. The platform matches and links public and private data on over 300 million companies, 200 million individuals, and 215 countries. It provides over 100 predictive indicators to analyze entities' risk of bankruptcy, sales, and other economic factors. The platform aims to help users identify high-risk suppliers, potential conflicts of interest, compliance issues, fast-growing prospects, fraud patterns, and financial stability of partners.

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Fair Isaac is a leader in fraud detection and decision management solutions. Their Falcon Fraud Manager uses advanced analytics like neural networks and profiling to detect fraud across multiple channels. It has helped reduce credit card fraud losses significantly. The document discusses how debit fraud is evolving and Falcon Fraud Manager's capabilities for protecting debit transactions through profiling of cardholders, devices, and merchants.

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Big data analytics is proving to be a powerful tool for security by allowing organizations to analyze large amounts of disparate data for patterns and anomalies. Gartner predicts that the percentage of large global companies using big data for cybersecurity and fraud detection will increase from 8% currently to 25% by 2016. Big data analytics can help identify phishing attempts, screen out scam calls, and track fraudsters' behaviors across accounts to develop patterns. The University of Adelaide implemented the analytics tool Splunk to help deal with growing phishing attacks, and realized expanded security applications and benefits. While big data analytics is ahead of most organizations' abilities, its return on investment is typically too large to ignore.

Where Flow Charts Don’t Go -- Website Security Statistics Report (2015)

Jeremiah Grossman

WhiteHat Security’s Website Security Statistics Report provides a one-of-a-kind perspective on the state of website security and the issues that organizations must address in order to conduct business online safely. Website security is an ever-moving target. New website launches are common, new code is released constantly, new web technologies are created and adopted every day; as a result, new attack techniques are frequently disclosed that can put every online business at risk. In order to stay protected, enterprises must receive timely information about how they can most efficiently defend their websites, gain visibility into the performance of their security programs, and learn how they compare with their industry peers. Obtaining these insights is crucial in order to stay ahead and truly improve enterprise website security. To help, WhiteHat Security has been publishing its Website Security Statistics Report since 2006. This report is the only one that focuses exclusively on unknown vulnerabilities in custom web applications, code that is unique to an organization, and found in real-world websites. The underlying data is hundreds of terabytes in size, comprises vulnerability assessment results from tens of thousands of websites across hundreds of the most well- known organizations, and collectively represents the largest and most accurate picture of website security available. Inside this report is information about the most prevalent vulnerabilities, how many get fixed, how long the fixes can take on average, and how every application security program may measurably improve. The report is organized by industry, and is accompanied by WhiteHat Security’s expert analysis and recommendations.

Privacy Risk Management - Emerging Trends, Benchmarking Research and Best Pra...

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A comprehensive new IAPP / TrustArc research report reviews what nearly 500 companies across EU, US and Asia are doing to comply with the GDPR. Key results include: How many DPIAs are being conducted? Are companies creating data inventories? How many data subject access rights requests are they receiving? What type of tools are they using to manage compliance? What other types of assessments are they conducting? And much more. Join us to hear from the report’s authors on their key takeaways from the research, how you can use this information to secure budget next year and best practices to manage ongoing GDPR compliance. In this webinar as our speakers will provide valuable insights into: -Data on what other organizations are doing -Thoughts on emerging best practices -How technology can help automate certain GDPR tasks

The Insurance Digital Revolution Has a Fraud Problem

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The rapid digitalization of the Insurance Industry has not only opened up access channels for customers, but also created targets for fraudsters. The time is now to protect your business from fraud as you convert to digital. In this webinar, we’ll analyze the 5 Strategic Approaches to Digital Optimization and Transformation in Insurance that Gartner laid out in their report and explore possible fraud threats that can arise as a result of such transformation. Register today to learn more from us about: - Combating fraud threats introduced by the move to digital, such as ghost broking - Detecting and preventing growing account takeover - Protecting the entire customer lifecycle - How to arm your SIU to more effectively fight fraudulent claims - Improve identity verification to reduce early term losses

Statistics of 2015 Data Breaches

HOTEL NEWS NOW (STR)

The document summarizes statistics about data breaches that occurred in 2015 according to a report from Trustwave. The report found that 75% of data breaches in the hospitality industry involved point of sale systems while food and beverage had more even splits between POS and network breaches. Most common types of data compromised across all industries were financial credentials and proprietary data. Breaches were detected internally through self-monitoring more often than being notified by external regulators or law enforcement.

The Rise of California Cybercrime

SecureAuth

California has always been a king of innovation - from the earliest ventures in filmmaking to today’s Silicon Valley technologies. So it's not surprising that California has been at the vanguard of cybersecurity, being the first state to enact a breach data notification law in 2003. Laws don't stop cybercriminals, though - and California has seen a sharp rise in breaches the last 4 years, according to The California Data Breach Report. Consider these chilling realities: • There were 657 data breaches involving more than 500 records from 2012-2015 - impacting a total of more than 49 million records of Californians. • In 2012, 2.6 million records were impacted; by 2015, that number rose to 24 million. • Nearly 3 out of 5 California residents were victims of a data breach last year. According to the report, every industry is affected: schools, hospitals, restaurants, retailers, banks, hotels, government agencies and more. Any of them can suffer severe consequences, such as brand damage, class action lawsuits, lost business and regulatory fines. Their users and consumers see their social security numbers, payment card data, medical information, driver's license numbers and other personal data fall into criminal hands; according to Javelin Strategy & Research, 67 percent of 2014 breach victims in the U.S. were also victims of fraud.

Kash aziz sap forum may 11 2016 presentationv3.2

Baraa Arksousi

The document discusses digital transformation in the banking industry. It outlines how banking has evolved from Bank 2.0 with a focus on infrastructure and processes to Bank 3.0 which offers online and mobile banking. It describes the bank of the future as being accessible wherever customers are rather than customers visiting physical branches. It also discusses how customers now conduct most of their research and account openings online and the rise of fintech companies disrupting the market. The document advocates for banks to adopt digital strategies like personalized offers, omnichannel experiences, business networks, and effective risk and compliance management to transform into digital banks.

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The digital transformation of retail

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Syoncloud big data for retail banking, Syoncloud

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The document discusses Syoncloud's big data solutions for retail banks. It describes how Syoncloud uses big data analytics to: 1) individualize product offers for existing clients; 2) detect fraud early and mitigate fraud damage; 3) predict product cancellations and client defections; 4) optimally allocate cash to ATMs and branches; and 5) minimize the use of expensive bank channels. It provides examples of the types of data and machine learning algorithms used for these applications.

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Preventing Fraud with a Multi-Channel Approach

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