A real-time transaction scanner to identify high risk & suspicious transactions.
Rule based transaction management with customisation option
Watch has advanced feature which enable our clients to manage Rules by their own.
Which means you are not dependant on us to create a new rule logic. Few important
Unsophisticated regimen for customizing new rules to the system
Customize your rule suite with a pellucid setup
Inbuild rules advocacy for the new market trend and scenarios
Make sure your new rules are effective - Simulation
Customizable dashboard and reports
Watch delivers a flexible and customizable dashboard that can be tailored to your
Volumes and usage statistics
Merchant and User level statistics
Employ level prototypes
Rule / Rule group-wise metrics
Graphical representation of data
Watch provides multiple channels for integrations. Its superfast and easy to integrate
APIs is aimed to reduce your integration time and cost.
Simple API integration for transaction data
Webhooks integration for alerts and notifications
Multi channel integration in single platform
User / Merchant profiling
Watch provides extensive customer & merchant profiling. Profiling is a way of
creating portraits of your customers / merchants that are based on factual
information, such as their buying / selling behaviors or interactions. Below are
some of the approaches watch provides
Typical spending velocity
The hours and days tend to transact
Customer and locations of transactions
Customers CNP transaction behaviour
Merchants average and seasonal behaviour
Highly scalable and suitable for any channels
Watch provides highly scalable Fraud Risk Management solution for all channels, which
includes and not limited to :
Acquiring & Issuance - CIP , CNP for all types of cards like credit, debit and
Domestic money tranfer(DMT , APS)
UPI, Wallets including Cryptocurrencies
Internet banking transactions
Cash remittances & AML monitoring
Forex remittances Inward and outward including SWIFT transactions.
ML & AI-Powered Transaction scoring
A mix of supervised and unsupervised ML based transaction scoring for every
transaction will enable reduce dependence on manual review processes.
Predictive modelling for reporting
Custom made ML models to detect money laundering
Increased productivity by reducing false poisitive
Option to integrate external / thirdparty ML models / libraries
The global eCommerce market is predicted to touch the 7 trillion US Dollars
mark in 2025. Well, this doesn’t just serve the good guys, bad guys are also
getting their peck from this huge hit! Big money brings big risks, with
noticeable growth in the e-commerce sector we can expect an increase in
e-commerce fraud committed.
3D Secure or 3DS is a security protocol initiated to upgrade protection
during card-not-present transaction instances (CNP). 3DS acts as an extra
layer of security by confirming the cardholder’s identity prior to
authorization and thereby rapidly reducing the risk of online fraud.
eCommerce merchants around the globe are adopting the 3DS methods as an
integral part of their fraud prevention program, So how does this work?
with the right fraud risk prevention vendor
Choosing the right fraud prevention vendor is not complicated as it seems.
Your business goals should align with the features and specifications of
their fraud prevention system. Below is the list of benefits you should
consider while in partnership.