fraud

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Published By: Recorded Future     Published Date: Feb 13, 2019
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.
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Recorded Future
Published By: Recorded Future     Published Date: Feb 13, 2019
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
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Recorded Future
Published By: Google     Published Date: Jan 24, 2019
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: Datastax     Published Date: Dec 27, 2018
The world is moving at an increasingly accelerated pace. In this new Right-Now Economy, the rampant spread of payments fraud remains one of the biggest challenges for e-commerce and financial institutions. The worldwide e-commerce market was valued at $2.3 trillion for 2017, and 2018 should see even more growth, and along with it, more fraud. In the US alone, the cost of e-commerce fraud rose from $10 billion in 2014 to roughly $19 billion in 2018.
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Datastax
Published By: Datastax     Published Date: Dec 27, 2018
As a financial service institution (FSI), you can’t fight fraud anymore with slow or unintelligent solutions. Today’s cyber criminals are way too sophisticated. To effectively battle fraud in the Right-Now Economy, FSIs need nimble solutions that act at the data layer. Read this white paper to learn the specific attributes your database needs to provide powerful anti-fraud prevention and protection.
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Datastax
Published By: Proofpoint     Published Date: Dec 21, 2018
If you’re like most IT leaders, you’re invested heavily in the latest security tools. Yet you’re still inundated with ransomware and other advanced malware, credential phishing, email fraud and more. You’re spending more time dealing with a growing volume of threats. And you’re seeing a shrinking return from your security investments. That’s because most of today’s attacks play off human weaknesses. Download this whitepaper today to find out the top tips on how to choose tools and solutions to improve behaviours and outcomes.
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Proofpoint
Published By: IBM Watson Health     Published Date: Dec 12, 2018
Data analytic solutions help improve the value of health and human services, drive better decision-making and lower costs. See how the right solutions can contribute to millions of dollars saved through fraudulent claims detection, offer insights into the social determinants of health and benefit social programs.
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government, health and human services, artificial intelligence, data, cognitive insights, medicaid, fraud reduction, social program management, healthcare technology
    
IBM Watson Health
Published By: Google     Published Date: Dec 03, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: SAS     Published Date: Nov 16, 2018
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. This IIA Discussion Summary explores the challenges and opportunities in preventing Medicaid fraud in an interview with SAS’ Ellen Joyner-Roberson, Principal Marketing Manager for Fraud and Security Intelligence, and Victor Sterling, Principal Solutions Architect.
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SAS
Published By: SAS     Published Date: Nov 16, 2018
Instances of fraud have become commonplace in many industries, and it’s costing organizations millions of dollars annually and placing corporate brands at risk. But despite significant investments in staff and anti-fraud software, new and emerging fraud threats keep slipping through undetected. Why? Because it’s too costly to keep anti-fraud software current. Paying a vendor to make software changes dramatically increases total cost of ownership. This paper discusses how SAS addresses this challenge with next-generation fraud solutions like SAS Visual Investigator, a cloud-ready investigation and incident management platform that end users can easily configure and adapt to detect new and evolving types of fraud.
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SAS
Published By: SAS     Published Date: Nov 16, 2018
More account openings are taking place through digital devices and online, giving the access and anonymity fraudsters need to steal or fabricate identities. Since 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 at all three stages of bust-out fraud schemes.
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SAS
Published By: SAS     Published Date: Nov 16, 2018
Fraud is costing government programs more than ever. For example, Medicaid lost $36 billion in 2017 – 10 percent of its total expenditures – which represents a 27 percent increase over 2015. As explored in this paper, fraud numbers are on the rise because fraud rings are not only getting more effective at what they do, but because it’s easy for them to find soft targets across multiple government programs simultaneously. Learn about how next-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.
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SAS
Published By: TIBCO Software EMEA     Published Date: Nov 12, 2018
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud. This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others. This TIBCO and Marketforce webinar on “The Fourth Industrial Revolution in Insurance” includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses: Moving towards the algorithmic insurer: the opportunities created by AI and ML How insurers can become more agile in the face of new innovations and disruptive technologies How the industry can turn structured and unstructured data into insights
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agile insurance, customer experience, digital initiatives, analytical techniques
    
TIBCO Software EMEA
Published By: Google     Published Date: Oct 26, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: CyberSource     Published Date: Oct 19, 2018
Our latest report examines the trends and challenges facing fraud managers today and provides the strategies to address them. Learn how your peers are faring, and see how you compare to them.
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CyberSource
Published By: SAS     Published Date: Oct 03, 2018
Risks have intensified as retailers and financial organizations embrace new technologies to meet customer demands for convenience. The rise of mobile and online transactions introduces new risks – and with that, new requirements for fraud mitigation. This paper discusses key steps for fighting back against fraud risk by establishing appropriate and accurate data, analytics and alert management.
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SAS
Published By: SAS     Published Date: Oct 03, 2018
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.
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SAS
Published By: SAS     Published Date: Oct 03, 2018
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.
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SAS
Published By: TIBCO Software EMEA     Published Date: Oct 03, 2018
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market. Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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artificial intelligence, machine learning, dynamic pricing, predictive claims, real-time fraud, contextual customer experience, operational effectiveness
    
TIBCO Software EMEA
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks. The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks. The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks. The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks. The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."
Tags : 
    
Akamai Technologies
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks. The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."
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Akamai Technologies
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