The paradigm for identity risk management and authentication is changing. In the new paradigm, context and data available for a specific type of interaction must drive analytics. Instead of just looking for commonality, we need to make better use of data that is unique.
Payroll systems are the life line of any company or organization. Typically, these systems assemble critical financial functions such as salaries, tax deductions, benefits, business-to-business payments, supplier bills and tax returns.
Data Sheet
Behavioral Biometrics in a P2P World
In recent years, Peer to Peer payments have shown a significant increase, passing the $120 billion mark (2017). Currently, one in three American consumers uses P2P apps to make instant payments to friends, relatives, service providers, or anyone they owe money. Since P2P account opening does not require identity verification, it is vulnerable to various types of fraud and threats including malware, social engineering, remote access, SIM swapping, call forwarding and other techniques. Using these techniques, the fraudsters are able to exploit two main points of failure:
Case Study
A Top-5 U.S. Bank Detects TrickBot Malware Attacks with BioCatch’s Behavioral Biometrics Solution
Malware infections and Remote Access Trojan (RAT) attacks are on the rise, enabling cyber criminals to take over accounts from afar and automate fraud. Despite traditional fraud detection measures and cybersecurity safeguards, malware and RAT attacks remain prevalent. Undetected malware attacks can result in direct losses to account holders and have a long-term detrimental effect on business and customer confidence.
Webinar
The Fast and the Fraudulent
Data Sheet
Behavioural Biometrics in a PSD2 World
As account opening continues to transition from physical to digital channels, financial institutions, issuers, lenders, and other organizations must optimize the digital experience of applicants in order to compete. At the same time, fraud is on the rise as criminals have become more successful than ever, thanks to some of the same digital channel benefits enjoyed by consumers: convenience, speed, and ease of use.
In recent years, a growing number of organizations have employed two-factor authentication (2FA) as a primary safeguard mechanism. They all share the notion that requiring a second security layer will be instrumental in reducing data breaches and identity theft. Two-factor authentication is based on the fundamental assumption that at least two out of three authentication factors are used in the process (“something you know, something you have, something you are”). 2FA is not a new security measure, nevertheless, it is in extensive use, despite the growing recognition that it is not so effective.
As account opening continues to transition from physical to digital channels, financial institutions, issuers, lenders, and other organizations must optimize the digital experience of applicants in order to compete. At the same time, fraud is on the rise as criminals have become more successful than ever, thanks to some of the same digital channel benefits enjoyed by consumers: convenience, speed, and ease of use. To achieve the necessary balance between preventing fraud and providing a delightful experience for consumers, an approach to identity proofing that accounts for the channel, product, customer, and threat environment is absolutely critical. But regardless of the approach, inconspicuous solutions — like those based on applicant behavior — have a distinct role to play in how institutions manage the risk of application fraud.
With account fraud rising and large amounts of personal information already compromised, financial institutions realize the shortcomings of basic passwords and OTPs and the need for biometric authentication to bolster security and enable a seamless user experience. However, many biometric platforms still use knowledge-based information to enroll customers, which makes it easy for hackers to create new accounts using personal identifying information.
Data Sheet
What is Behavioral Biometrics?
Behavioral biometrics is a breakthrough cybersecurity technology that identifies people by how they do what they do, rather than by what they are (e.g., fingerprint, face), what they know (e.g. secret question, password) or what they have (e.g. token, SMS one-time code). Behavioral biometrics measures and analyzes patterns in human activities. Historically, these included keystroke patterns, gait, signature and the like. Today’s advanced behavioral biometric techniques capture an array of human interactions between a device and an application, such as hand-eye coordination, pressure, hand tremors, navigation, scrolling and other finger movements, etc.
There are many faces of fraud in the insurance market - using stolen identities to obtain a new policy - or just as troubling, an account takeover to make a false claim or change payee information to receive claim funds. And when fraud hits, it hurts everyone in the pool. In fact, according to the Federal Bureau of Investigation (FBI), annual losses related to insurance fraud is approximately $40 billion, costing the average American family $400-$700 in increased premiums each year.
White Paper
Digital Transformation in the Insurance Sector
The widespread digitization of financial services is causing large-scale and sweeping transformations across various facets of the business, creating new growth opportunities but also new challenges and inherent risk. In the insurance sector, particularly, digital transformation is driven by new competitive threats, ongoing cost pressures, aging technology and increasing regulatory requirements. Put all together, there is a huge opportunity to modernize, to create new business models, acquire customers on new channels and create competitive and compelling customer experiences.
The global insurance market is a multi-trillion-dollar market worth more than $4.5 trillion in gross insurance premiums (2015). In 2016, the gross insurance in premiums in the U.S reached $2.67 trillion with $1.5 trillion in paid claims.
Data Sheet
Behavioral Biometrics for Mobile Payments
Digital transformation in banking and retail is rapidly evolving. In this fast-moving environment, where finance and fraud intersect, there are several ramifications for financial institutions and the user experience.
The equation is quite simple: where there is money, there is fraud. As the use of mobile banking grows, so do the threats of hacks, malware and other remote attacks. Traditional means of detecting fraud can take considerable time and resources, sometimes taking weeks to detect or to confirm an incident.
In the digital world - whether mobile payments, e-commerce or online banking – this is much too long. Transactions happen quickly, and any delay can have significant repercussions, both from a consumer confidence perspective and a cost perspective. In the digital world, it seems there is always a choice to make between security and the user experience.
With cyber-attackers becoming much more sophisticated, security measures must get smarter too. The key is to implement security measures that continuously monitor and test the authenticity of users in ways that are difficult to replicate. Many experts and market leaders agree: behavioral biometric profiling is the only effective way to achieve this level of security.
Data Sheet
What Is Behavioral Biometrics?
Behavioral biometrics is a breakthrough cybersecurity technology that identifies people by how they do what they do, rather than by what they are (e.g., fingerprint, face), what they know (e.g. secret question, password) or what they have (e.g. token, SMS one-time code). Behavioral biometrics measures and analyzes patterns in human activities. Historically, these included keystroke patterns, gait, signature and the like.
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One of the major retailers in Latin America experienced a surge in online fraud and review costs. BioCatch was able to detect new user fraud in real-time, lower the review rates considerably, and provide immediate ROI.
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BioCatch is a cybersecurity company that delivers behavioral biometrics, analyzing human device interactions, to protect users and data. Banks and other enterprises use BioCatch to significantly reduce online fraud and protect against a variety of cyber threats, without compromising the user experience.
BioCatch works with leading banks around the world and monitors more than 2 billion transactions per month. Join us as we provide a summary of fraudulent activity gathered via our behavioral biometrics platform in 2016, review the latest trends in online fraud and share some insights as to what 2017 will bring.
Remote Administration Tools (RATs) have a dual purpose. Their original objective was to allow IT personnel to remotely access computers connected to the network, so they can run troubleshooting or remote maintenance on the PC. Many people use remote access capabilities because it allows them to enter their far-away desktop and control it, just like they were sitting behind the keyboard themselves.
As mobile devices eclipse computers and laptops as the preferred method of going online, fraudsters have followed users, porting their modus operandi –account takeover, social engineering, and malware based remote control attacks – to the mobile arena. Mobile has opened up many new ways for users to communicate and connect without being tied to a desk or a power outlet – and at the same time, it has presented hackers with many more opportunities to perpetrate fraud and carry out attacks that cannot be detected with traditional tools used to detect attacks in web sites. As a result, companies need to apply new fraud controls to protect mobile users and enable them to carry out transactions, check bank accounts, make purchases, etc.