This infographic describes the growing financial crime problem from several perspectives and sets out reasons why now is the time to move to self-learning analytics and other technologies available on the TIBCO platform for:
Monitoring transactions as they occur
Easily generating contextual views using accurate, real-time information
Expediting the investigation process
Evaluating potentially risky transactions
Making the right decisions quickly
Unlike rules-based systems, which are fairly easy for fraudsters to test and circumvent, machine learning adapts to changing behaviors in a population through automated model building. With every iteration, the algorithms get smarter and more accurately find activities that represent risk to the firm.
Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? Technology is redefining what’s possible in fighting fraud and financial crimes, and SAS is at the forefront, offering solutions to:
• Protect from reputational, regulatory and financial risks.
• Reduce the cost of fraud and financial crimes prevention.
• Gain a holistic view of risk across functions.
• Include cyber events in regulatory report filings.
In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security. SAS fraud solutions use advanced analytics and artificial intelligence to help your organization better detect and prevent fraud. By applying analytics and powerful machine learning on a unifying platform, SAS helps organizations around the globe detect more financial offenses, reduce false positives and run more efficient investigations.
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
Published By: LogRhythm
Published Date: Jun 19, 2018
Globally, sophisticated cyber-attacks are compromising
organizations at an unprecedented rate and with
devastating consequences. Modern attackers, including
criminal organizations, ideological groups, nation states
and other advanced threat actors are motivated by a wide
range of objectives that include financial gain, industrial
espionage, cyber-warfare, and terrorism. These attacks
are often very expensive for compromised organizations,
costing each company an average of USD $7.7M.1
Ponemon 2015 Cost of Cyber Crime Study
CyberEdge 2016 Cyberthreat Defense Report
Symantec, Underground black market: Thriving trade in stolen data, malware, and attack service.
November 20, 2015; Medscape, Stolen EHR Charts Sell for $50 Each on Black Market, April 28, 2014
Deloitte, Beneath the Surface of a Cyberattack, 2016
The Modern Cyber Threat Pandemic 3
The odds that your organization will be compromised are
high. In fact, a recent report indicates that 76 percent
of surveyed organizatio
These emerging technologies and solutions certainly are not unique to financial services. But Stewart, a business director of security intelligence solutions within the SAS Security Intelligence
Practice, sees particular interest and application in AML circles.
"There remain a good number of manual processes within financial crimes departments in financial institutions, and AI can help automate some of those rote tasks such as document review or alert triage," he says. "Due to investments in technology, there is a lower barrier of entry for midsized institutions. "And finally, there's this anxiety over the unknown - those risks they are not able to detect, that may be hidden using traditional techniques - so they're hoping that more advanced, unsupervised learning techniques can be used to identify those edge cases or behaviors that are out of norm." In an interview about analytics and the AML paradigm shift, Stewart discusses:
• The new industry intrigue with artificial intelligence a
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations.
In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance,
Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes:
• Global payment initiatives
• Open Banking standards
• Artificial intelligence and machine learning
• Consumer demand for real-time fraud prevention and detection
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations
In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes:
•Global payment initiatives
•Open Banking standards
•Artificial intelligence and machine learning
•Consumer demand for real-time fraud prevention and detection
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
Featuring Andy Schmidt, Principal Executive Advisor
Knowing your customer is key to driving a successful strategy for client security and retention. Watch this video to get a picture of how KYC can be deployed for risk minimization, work with compliance, and make security measures more frictionless using cutting edge technology.
Financial 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. You’ll learn about:
• The new industry intrigue with artificial intelligence and machine learning.
• How these emerging solutions can benefit financial institutions.
• The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are:
• Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime.
• Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets.
Download now to learn more!
Sanctions screening and fraud prevention solutions use real-time detection to prevent terrorist financing and financial crime; whereas anti-money laundering (AML) primarily follows an “observe and report” process. Such a process is all that is currently required by many regulators. Increasingly though, international compliance teams are choosing to stop transactions before they are executed – based on suspicions of money laundering activity. More and more, the industry has been asking itself if this approach of rejecting suspicious activity is a more effective strategy to prevent money laundering. This paper explores where and why AML real-time detection might make sense as a new paradigm for global financial institutions.
Global anti-money laundering (AML) standards have long required that understanding beneficial ownership be a part of a financial
institution’s AML program. Beneficial ownership outlines the identity of individuals with a controlling interest in a privately held company, enabling a financial institution to understand the ultimate beneficiary of a financial transaction. Identifying beneficial ownership can be a complex process, but it’s one that institutions must conquer if they are to remain in compliance with industry rules and legislation.
As our unpredictable world becomes more complex, interdependent and dangerous, it’s becoming harder to manage third-party risk. Traditional financial and operational risks seem like the good old days. Now procurement has to manage, mitigate and avoid risks as disparate as conflict minerals, cybercrime, natural disasters, resource depletion and many others.
"The malware industry supplies all the components cybercriminals need to easily perpetrate malware-driven financial fraud and data theft. In today’s virtual world, the
scope of organizations vulnerable to malware-driven cybercrime is quite broad. In addition to banks and credit unions that are subject to online banking fraud, financial fraud can be perpetrated on insurance companies, payment services, large e-commerce companies, airlines and many others. "
Failing to contain financial crime hits banks with the double impact of crime-related losses and fines imposed by regulators and law enforcement agencies. Depending on the magnitude of a bank’s failure to stem financial crime, fines can run into hundreds of millions of dollars – and even higher in exceptional cases. More importantly, institutions are keen to protect their brand from association with transnational organized-crime rings and scandals related to corruption.
"The malware industry supplies all the components cybercriminals need to easily perpetrate malware-driven financial fraud and data theft. In today’s virtual world, the scope of organizations vulnerable to malware-driven cyber crime is quite broad. In addition to banks and credit unions that are subject to online banking fraud, financial fraud can be perpetrated on insurance companies, payment services, large e-commerce companies, airlines and many others. "
For most financial institutions, it’s no longer a question of ‘if’ but ‘when’ they’ll be attacked..
If you’re like most financial institutions, you have controls that identify breaches, but need proper procedures that’ll enable you to recover from such an event. In this presentation at the CUNA Technology Council Conference, Tom Neclerio, BAE Systems’ VP of Cyber Consulting Services, discusses the current threats across the financial marketplace and explores strategies for implementing a successful incident response program as outlined in the FFIEC’s cyber resilience guidance.
This American Banker webcast, sponsored by IBM, provides new insight into cybercrime and fraud prevention.
Financial institutions have invested heavily in fraud prevention technologies and programs. However, sophisticated organized crime syndicates continue to successfully attack financial institutions and their customers. These criminals adapt quickly by using advanced technology and with ever changing attack vectors to exploit information security and fraud protection gaps across payment types, banking channels, and organizational boundaries. Traditional fraud prevention technologies are simply not capable of detecting and preventing account takeover and advanced malware attacks. A new approach to counter fraud is needed.
The malware industry supplies all the components cybercriminals need to easily perpetrate malware-driven financial fraud and data theft. In today’s virtual world, the
scope of organizations vulnerable to malware-driven cybercrime is quite broad. In addition to banks and credit unions that are subject to online banking fraud, financial fraud can be perpetrated on insurance companies, payment services, large e-commerce companies, airlines and many others.
In this whitepaper, Andrew Foose, vice president of NAVEX Global’s Advisory Services Team, analysed recent legal developments in the U.K. and uncovered four valuable clues on how enforcement of financial crimes may play out in 2015
This white paper provides insights into the current threat landscape for the financial services industry. Information is based on cyber security event data collected by IBM, as well as data derived from responding to, and performing forensics on, cyber security incidents.