JuicyLightning is the new solution that can be used for protection when downloading applications and media assets, as well as providing basic bot filtering against media fraud.

For those of our clients who face difficulties in building risk management teams, we have developed JuicyScoreAI. It is a brand-new tool designed to automate the process of building custom anti-fraud scoring and selecting optimal variables.

While anti-fraud tools keep strengthening, they become more and more effective. Oppositely, fraudsters are looking for new ways to skirt online fraud measures. Over the past few years, remote access technology has been on the rise among hackers, triggered by the rapid development of online digitalization.

Modern online companies need not only to find new channels to attract customers and sell their services in the market but also to be able to analyze the quality of these channels and assess the associated risks.

We are so pleased to announce this year’s game-changing event. A few days ago, we launched the new 15th gen API JuicyScore. The release features a full set of new fraud markers. Our team enhanced parameters for remote access identification and social engineering. What’s more, we improved our technological stack to detect device-assisted virtualization and randomization. Besides, the new version comes with a set of improved IDX indexes.

Relatively recent widespread use of two-factor authentication (2FA) or multi-factor authentication (MFA) has become commonplace for many online businesses. If you are reading this article and planning to implement 2FA-based solutions in your online business, we can definitely say that this step will bring significant benefits to you and your customers.

Technological agility helps fintech leaders to stand out from competition and increase the market share. Strong and reliable partners make this growth even more sustainable and significant. ID Finance in Mexico (MoneyMan brand) has been cooperating with JuicyScore, risk management and antifraud leader, for the last 3 years.

Automatisation in Risk Management has long been a necessity - risks in online business keep growing immensely, while manual data processing is unable to guarantee effective protection from online fraud.

Remote access technologies are very popular in the IT industry. The scenario of remote access application is quite extensive: testing programs, solving technical issues, remote work setup. However over the

Virtual machine may be a great instrument for dealing with issues related to data protection and safe program delivery, code testing, software performance research. However, the use of such technologies

Along with the opportunities global digitalisation has brought us risks. The emerge of a large number of online businesses inevitably leads to a fraudulent traffic increase. Based on our experience

For many years we have been working really hard to ensure our products bring maximum benefit in terms of borrowers evaluation and risk assessment. In many financial institutions, micro lending

The challenges of online traffic filtering and fraud protection arose in parallel with the spread of the Internet and have gone beyond the usual solutions for online business. A significant role in fraud protection at the moment is played by device reputation and the anomalies related to it. In present material we would like to shed light on some of the most effective ways of solving these problems and also to present our vision of Device ID usage trends.

Covid-19 pandemic has fundamentally affected the development of many online and offline businesses and healthcare has become an area of massive interest. Experts believe that embedded finance platforms for healthcare

It is really important for any online business to be sure that behind every new account there is a real new user of a product. However, it is not always

BNPL market is now growing by leaps and bounds and investors keep showing that they are really interested in it. According to Grand View Research , by 2028 market size is

The year 2021 gone by and speeded up the processes that many companies were trying to implement before and also shed light on some new challenges and opportunities. We have

Online companies are constantly searching for the new methods of customer acquisition as well as new ways of services provision on the financial market. However, speaking about online business in

With the development of online services and the emerge of numerous financial products on the market, the number of companies ready to render these services also increases dramatically every year.

Dear Friends! JuicyConf 2021 was held 8-10 September, it was devoted to the new trends and risks in digital risk management. All the guests who attended the event — risk managers

Amid rapid economic growth of fintech industry which we have witnessed for the last few years, strong and reliable partners make this growth even more sustainable and significant. JuicyScore started

Despite a slight slowdown in microfinance sector during the pandemic period some experts prognosticate the rapid growth of microfinancial industry in the next 5 years due to the rise and

The past decade has seen a series of technological breakthroughs which opened many opportunities for the fintech industry and took it to new heights. The Covid-19 pandemic has had a

Dear friends and partners! We are proud to inform you about a remarkable event of this year: a few days ago we launched a new generation of JuicyScore API. We

Technological change, revealing and adding new features to our products is the very nature of the JuicyScore team. No false modesty, we help our clients to achieve tangible and quantifiable

Fraud prevention, as management of all other types of risk, is an endless process of improvement and technological development. This allows financial institutions to invent additional tools for decision-making system

In times of crisis, when the markets drop, one of the key goals of any company is to maintain long-term and time-tested partnerships. This is especially important when the crisis

We are pleased to announce the launch of the next generation of our JuicyScore product - APIv12. The new generation is not just a serial number increased by one, it is a number of important changes to the product in terms of its information value and effect for our partners and customers. Our approach remains unchanged - we do not use any personal data and direct customer identifiers and continue working on Internet security for financial market.

In our publications, we have raised the issue of privacy and anonymity when working on the Internet multiple times, as well as the issue of access to various types of services. In one of our previous articles (https://juicyscore.com/blog/en/security-vs-privacy-in-search-of-a-fair-balance-en/) we wrote about why users tend to limit monitoring of their online activity. Today we will continue the conversation about anonymity and privacy, in particular, we will talk about cases where the anonymity of the user directly or indirectly does not mean additional protection, but becomes a tool for unfair behaviour and obtaining services illegally.

The information is an extremely valuable resource in the 21st century. The amount of information on the Internet increases each year and various methods are used to process these data arrays. Today we will focus on three concepts: artificial intelligence (AI), machine learning (ML) and deep machine learning (DML). There are still a huge number of methods that are used by data analysis specialists and experts, and the purpose of this article is not only to explain the features of these concepts, but also to show successful examples how some methods can be applied to solve practical problems to prevent fraud risk.

With the development of technologies, human life is accelerating in  all areas: we have to process a lot of information on our way to the  office, while waiting in the queue for a cup of coffee and even while  reading a book to your child. We are precipitately switching to mobile  devices to keep up with our working processes and we turn on our PCs  less and less often. Read in our new article how to maintain sales on  the same level or even increase them and reduce risks while living at  this tempo.

In November 2019 we were demoing at Finovate for the third time – it was Finovate Middle East in Dubai. Similar to previous Finovate conferences which we had honour to be invited in 2018 we keep showing non-personal data efficiency and secure use of biometry for authentication and risk evaluation.

Previously, we have been covering mostly the banking peculiarities of a financial business and its regulations. Since beginning of July such changes have come into force directly concerning microfinance market and changing the operating conditions of the microlenders. As a partner of several market players on this field, we wish to share our vision and tell how we could be useful in response to the new upcoming challenges.

We are glad to introduce our new big API update launch. We have focused as usual on raising impersonal data informational value for better decision-making. We have significantly raised the service value using new data, new device authentication technologies and more powerful fraud prevention score.

Last year Russia showed unprecedented speed of credit obligations growth. The total outstanding balance for all types of loans reached 14.9 trillion rubles. The speed of lending growth is still high which leads to new challenges for risk management. Debt refinance and consolidation programs offered by financial institutions and regulator’s actions aimed to control the debt burden are the evidence of general concern.

How long have you not been online today?

At the end of October, we had the honor to speak at the Finovate Asia 2018 conference! Like a few months earlier, we continue to demonstrate the efficiency of non-personal data, telling about the successful resolving of client authentication and risk reduction tasks through device and user network behaviour analysis.

In February, we published an article about how the psychotype affects credit service users financial behavior. In addition to that, in June, we launched a laboratory for the evaluation of non-personal data — psychotype.online . Today we turn back again to the topic of the psychotype influence on the borrower’s credit behavior and income assessment. Referring to our research, we will talk about various data types synergy to gather more information about the client.

A little over a year ago, we were raising the topic of online client identification. Today we are going to further discuss problems and present you our new technological solution, developed over the past time.

In our article about banks and financial companies development strategy we touched the subject of business growth speed and innovation adoption speed.

We are happy to introduce our anniversary release of JuicyScore – v.10. We have significantly expanded functionality and set of predictors.

Currently, an active reassessment is under way regarding the use of personal data in the number of regions worldwide. The new GDPR will enter into force in the EU, and this is likely to be only the beginning. We may expect new regulations on personal data – PSD3 and GDPR2 data in the next 3–5 years. Those directives are not specific to the EU. It is highly likely that we will see similar initiatives in other markets in the nearest future.

We continue our series of articles about the meaningfulness of data describing the behavior of users on the Internet. In this article, we announce the launch of a global research project dedicated to studying users’ behavior, psychological types, and credit risks. The results of many recent studies have revealed that a person’s psychological type has a significant influence on his/her credit risk. There are a number of reasons:

When it comes to the ongoing tension between fintech startups and banks, there’s no shortage of speculation regarding who will come out ahead. While it may seem like these two entities are perpetually at odds, the truth is there’s actually a substantial number of industry players on both sides of the fence that are cooperating with each other.

As many of you know, big data tools can add considerable value to identification of “good” and “bad” borrowers’ clusters. This research covers the use case of the seamless web identification technology in identification of “good” clients or in “saving clients from a ruthless credit conveyor.”

We are pleased to announce the new JuicyScore API v.9.0.It combines the latest identification technology and more than 200+.

As you may have noticed, this is a topic we just couldn’t ignore. Thanks to the cryptocurrency market becoming, for better or worse, the latest media darling, the term “blockchain” seems to be on everybody’s lips. By itself, blockchain technology is a collective term that combines both the database (databases) containing information about owners and a number of technologies, such as blockchain (chain of transaction blocks) and distributed ledger technology. It is this sphere that receives the most attention, and the hype is deserved at the moment.

During a recent conversation with the head of a major financial holding companies, we touched on the influence of lead generators on the risks and the level of write offs in the financial sectors.

There is clearly a fraud problem in our industry. Over the past year, the level of technical fraud in has increased by a staggering 80%. What’s more, among new applications that have been on the market for more than three years, an average of 4-6% have fallen prey to fraud (and throw in another 10-20% among online lenders that have appeared in the past 12 months).