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  1. SANS The Algorithm of You: Defeating Attackers by Being Yourself
  2. Machine Learning And Behavioral Biometrics: A Match Made In Heaven
  3. Machine Learning And Behavioral Biometrics: A Match Made In Heaven
  4. The promise of behavioral biometrics solutions
  5. SANS The Algorithm of You: Defeating Attackers by Being Yourself | BehavioSec

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.

SANS The Algorithm of You: Defeating Attackers by Being Yourself

Using these techniques, the fraudsters are able to exploit two main points of failure:. 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.

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.

Executive Summary

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.

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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.

Behavioral biometrics measures and analyzes patterns in human activities. Historically, these included keystroke patterns, gait, signature and the like. 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. In , the gross insurance in premiums in the U.

Machine Learning And Behavioral Biometrics: A Match Made In Heaven

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.

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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.

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. According to multiple threat index reports issued at the end of , the threat of Remote Access Trojans RATs is at an all time high.

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. 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.

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Case Study A Top-5 U. Webinar One-time Passwords: What are the Alternatives? Massive data breaches, new forms of malware and increasingly sophisticated social engineering attacks hit businesses and consumers at a steady pace. This pace does not seem to be slowing down.

Machine Learning And Behavioral Biometrics: A Match Made In Heaven

Can we expect any better in ? Webinar A Look at Frictionless Authentication. Data Sheet Something You Have vs. The ongoing cat-and-mouse game between fraudsters and security experts has generated a variety of methods to prevent identity theft and ease the authentication process.

The promise of behavioral biometrics solutions

Behavioral biometrics upends the paradigm, profiling and analyzing user behavior as opposed to what they have or what they know. These are the main differences between device recognition methods something you have and behavioral biometrics something you are. Fraudsters are ever-evolving and constantly discovering new methods of stealing money from institutions worldwide. The drive to digital transformation is providing new opportunities for fraudsters to exploit businesses and consumers remotely.

The losses from cybercrime continue to rise year-after-year with the number of cyber incidents targeting businesses nearly doubling between and according to the Online Trust Alliance. Webinar The Fast and the Fraudulent. Biometrics, without a shadow of a doubt.

SANS The Algorithm of You: Defeating Attackers by Being Yourself | BehavioSec

But the biometrics field offers a whole host of possibilities, including behavioral biometrics. This type of technology serves to analyze the behavior of users in real time in order to check whether they are themselves, not only on entering their access codes but also throughout the time the entire session lasts while they are logged on to the digital platform. However strange it may seem, we human beings do not behave alike when interacting with the different devices at our disposal: the keyboard, the mouse, the touchscreen, etc.

Behavioral Biometrics Overview

This behavior can be analyzed separately by using some of the following parameters such as, for example,. In order to analyze this behavior, one or several algorithms are applied that can be processed by using different technologies. In the case of bugFraud, Machine Learning and Deep Learning are our chosen techniques on account of the millions of fragments we analyze in real time every day for our customers. Some of the main benefits of using behavioral biometrics are as follows:.

Another advantage of this type of technology is that it evolves with the user; unlike robots our behavior is not always exactly the same. In this way, biometric analysis adapts accordingly in order to protect the user throughout the whole session. Topics: behavioral biometrics , Cybersecurity. Thanks to this solution, banks and financial institutions around the world protect their clients, in real time, from common Phishing, Unknown Malware attacks and Account takeover. In this case, they can even use them as an advertising ploy so that potential customers buy their database.

They can supply them directly to other members of the cybercriminal group they belong to and who will take charge of carrying out the theft.