Visit us at MRC 2019 in Las Vegas March 18-21. If you’re going, we’d love you to stop by our booth (719) or drop into one of our keynotes or demo presentations! ...
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. ...
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...
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...
Biometrics can play an important role in helping merchants, banks and others identify and stop fraudulent behavior online. But it’s not the holy grail of fraud prevention....
The convergence of artificial intelligence and machine learning with automation will unlock unprecedented intelligence and help fight evolving fraud. ...
Fostering trust among parties involved in a transaction is key to building a successful shared economy platform. Only an advanced solution that leverages technologies such as artificial intelligence and machine learning to unearth anomalous patterns from structured and unstructured data from varied sources can build a trustworthy platform for customers...
Legacy point solutions can’t cope with the speed at which modern financial services are delivered. That’s why financial institutions need real-time, adaptive decisioning to stay one step ahead of fraudsters while providing the high-quality digital banking experience that customers expect....
The power of machine learning and automation can help global firms better manage risk, meet regulatory compliance requirements and exploit new economic opportunities. ...
Fraudsters harvest personal details of customers from the data breaches to create fraudulent bank accounts that are further used to seek loans, apply for new credit cards, gain instant credit and for money laundering activities. To protect themselves from the financial and reputational losses, banks must stop the fraudulent applications...
