The Simility Blog

Apr 02 | By:

Fraudsters are constantly looking for new ways to attack and real-time payments present new avenues for criminal activity. Banks and financial service providers will have to move from a post-transaction batch-based analysis and reporting model to a contextual, early warning-based preventive framework supported by advance analytics and data intelligence to...

Mar 21 | By:

APAC is a collective of 31 countries home to 60% of the world’s population and 50% of its internet users. While unprecedented numbers of people are shopping, banking, and interacting with digital businesses online, fraud has quickly adapted and has never been more prevalent. This week, Kedar Samant, Senior Director, Risk...

Mar 13 | By:

In the wake of increasing fraudulent applications, digital businesses are facing enormous challenges in successfully onboarding new customers while keeping fraudsters at bay. Businesses can no longer rely on legacy tools and need agile solutions to sieve out fraudulent applications at the first level itself. ...

Mar 07 | By:

Clear-box machine learning algorithms allow businesses to make informed decisions, while accurately detecting fraud.  Machine learning is playing a pivotal role in enhancing customer experience and helping businesses fuel growth. It has evolved as the go-to-technology when it comes to fighting fraud. This is largely because machine learning algorithms have an incredible ability...

Mar 05 | By:

The onus to catch fraudsters and prevent them from poisoning the ecosystem is on shared economy platforms.  Technology is playing a pivotal role in satiating our quest for faster and cheaper goods and services, and using idle assets to make money through shared economy platforms. However, the same technology that acts...