Frictionless Fraud Prevention for Fintech, Digital Banking & Payments

We Got Your Back

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Fully Managed Service

Because we care about your growth and safety, we are with you every step of the way providing you with a dedicated tech & fraud team.

Tailored Fraud Prevention

With our 20+ years of industry knowledge, we know how fraudsters operate and how to stop them.

Frictionless User Experience

Protect your users from fraud without compromising their experience with extra steps of authentication.

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Fast and Easy Integration

No need for lengthy complex processes or wait to build profiles – integrate in a matter of days.

Cost Reduction

Streamline the entire process and get rid of costly steps. Save time and money on resources with our fast implementation process.

Detection from Day 1

From the moment your customer opens the app we can start detecting potential fraud

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How We Do It

Paygilant’s solution comprises 6 Intelligence Sets which are designed to distinguish between legitimate and fradulent activities. Each intelligence set observes and analyzes various attributes throughout the user’s journey, prior to performing the transaction.

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What Our Customers Say

“We selected Paygilant because it is designed for the financial industry and we believe that they actively meet the security challenges that exist today”

Fernando Araya, CEO of Tenpo (Financial Fintech, Chile)

“Paygilant was a perfect fit for our needs, as its solution demonstrated superb fraud prevention capabilities”.

(Yon Moreira, CEO of Surf Bank (Challenger Bank, Brazil

“The Paygilant team had a very solid idea that took minor design tuning to provide a strong solution using an adaptive model of customer behavior to detect and handle fraud risk. This is extremely valuable to Citi "

Dr. Matthew Yuschik, Global Consumer R&D group at Citi

”As a key player in India’s transformation into a cashless society, it is our responsibility to create a safe environment for our customers. Paygilant’s on-device mobile payment fraud prevention technology, with its ability to detect fraud in the pre-transaction stage, gives us this capability.“

Vinay Kalantri, The Mobile Wallet founder and CEO

Updated Resources

NEWS

Even the world’s greatest cybersecurity is no match for human error

The cybersecurity field is one of the most prominent in the Israeli hi-tech sector, having last year accounted for $4 billion in company exits in Tel Aviv alone. Likely due to the pipeline of IDF...

Paygilant in the Efma-Capgemini Financial NewTech Watchlist 2021

We are proud to announce that Paygilant has been selected by a panel of experts from Capgemini and Efma to be part of the NewTech Watchlist 2021. This watchlist consists of 100 Financial NewTechs...

Helping Fintech Companies Stay Secure: Paygilant’s CEO interview with PIA

From the original post: PIAZiv Cohen CEO of Paygilant, sat with us for an interview about how his company is rolling with the changes in digital banking and helping FinTech companies stay secure....

2022 and Digital Banking

2020 was a dark year for the world and a watershed period for financial institutions, but even the most challenging periods have a bright side. For banks, the bright side was the opportunity to build a strong relationship with their customers...

Can Mobile Banking Finally Serve the Underbanked?

Following the pandemic’s effects on the global economy, the number of those underbanked has swelled to troubling proportions. Worldwide, there are an estimated 1.7 billion underbanked. Meanwhile, the global unbanked population has surged to 31% of...

Reducing Friction Without Compromising Security, is This Possible?

The FCA (Financial Conduct Authority) has removed the 90-day re-authentication requirement for customers to access bank account data, as part of the Open Banking rules. The rule consisted of asking customers to re-authenticate their credentials...

New Datasheet - Paygilant for Challenger Banks

Paygilant is the first vendor to pioneer a true frictionless, layered mobile fraud prevention solution, designed for challenger banks . Learn how Paygilant can help challenger banks prevent fraud and ensure frictionless authentication, while boosting profits.

Download

New White Paper - Beyond Behavioral Biometrics

When it comes to fraud prevention and authentication, behavioral biometrics provides is a single, static form of intelligence attainment. So why not maximize your intelligence sets?

Download

Device Attributes

Various attributes observed on the device can contribute to the detection of fraudulent behavior and to the derivation of a device ID. Device model, screen, memory, UUID, OS, IP, geolocation, app permissions, and more are observed. Geolocation is probably the best example for a device attribute used for detecting fraud - if a transaction is attempted from Moscow a short while after the preceding transaction was carried out in New York, then that is a strong indicator of fraud. Restricted app permissions is another indicator that the user might be hiding something. Another example is app permissions that are restricted by the user – that, in combination with other things, night suggest that the user might be hiding something.

Transaction Data

Paygilant employs propriety transaction behavioral maps. The Behavioral Maps represent the purchasing patterns/behavior of a specific customer and her nearest neighbors and are created using Paygilant's proprietary machine learning algorithms. The behavioral maps typically comprise a large amount of information but must be compact 9 enough since they are securely transmitted to the mobile device. To achieve this Paygilant utilizes its depth of field (DOF) approach from digital photography to compress the information so that complex calculations that do not require work intensive CPU and memory. A Behavioral Map shows a clear, high resolution picture of the different risk zones and is a key factor in determining the risk of a specific transaction and has the following key characteristics: - User specific: each map is unique, calculated and maintained on a per user basis, therefore representing a transaction risk level for each customer’s transaction. - Lightweight: Resolution variations enable maintaining only the necessary data, reducing the map's weight to a bare minimum. - Dynamic: As the purchase behavior changes, the map will be modified.

Device DNA

Bio Markers

Paygilant observes bio markers to passively identify the user behind the transaction. Common bio markers Paygilant observes include touch time, time between touches, size of touch inputs, finger velocity, scrolling pace and drag length, typing biometrics, and more. Paygilant’s robust bio markers are just one of the several intelligence sets that make up the broader solution and is designed to augment the fraud/no-fraud decision that precedes any step-up authentication request.

App Interactions

Paygilant looks at how the user interacts with the mobile application to determine if the interactions are consistent with a legitimate user. For example, if a user navigates directly to a high-ticket item and immediately proceeds to check-out, then that suggests something fraudulent might be happening. If a user inputs his name and address on the payment form in a manner that is not consistent with how normal users would do it (i.e. slower than expected because typing-in unfamiliar strings), then that provides another clue that something fraudulent might be happening.

User Data

Intelligent, privacy preserving analysis of user data on the mobile device provides valuable insights into fraudulent activities. User data analysis is especially helpful in hard-to-analyze scenarios like new account origination, where there is no established history for the user/account. Some examples for how device data can be used include comparing user accounts on the device with the payment cardholder identity, or the identity disclosed on a new account registration form – a mismatch provides a strong indicator for fraud. No media on the device, empty contacts list, and sparse call logs are also examples of fraud indicators that can be collected from user data on the device.

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Frictionless Fraud Prevention for Fintech, Digital Banking & Payments

We Got Your Back

Fully Managed Service

Tailored Fraud Prevention

Frictionless User Experience

Fast and Easy Integration

Cost Reduction

Detection from Day 1

How We Do It

What Our Customers Say

“We selected Paygilant because it is designed for the financial industry and we believe that they actively meet the security challenges that exist today”

“Paygilant was a perfect fit for our needs, as its solution demonstrated superb fraud prevention capabilities”.

“The Paygilant team had a very solid idea that took minor design tuning to provide a strong solution using an adaptive model of customer behavior to detect and handle fraud risk. This is extremely valuable to Citi "

Updated Resources

NEWS

Even the world’s greatest cybersecurity is no match for human error

Paygilant in the Efma-Capgemini Financial NewTech Watchlist 2021

Helping Fintech Companies Stay Secure: Paygilant’s CEO interview with PIA

BLOG

2022 and Digital Banking

Can Mobile Banking Finally Serve the Underbanked?

Reducing Friction Without Compromising Security, is This Possible?

Recent Collateral

New Datasheet - Paygilant for Challenger Banks

New White Paper - Beyond Behavioral Biometrics

Device Attributes

Transaction Data

Device DNA

Bio Markers

App Interactions

User Data