Take a look at the top five identity frauds that are threatening businesses in 2021 and how an AI-powered solution can save the corporate world.

The greater relationship between AI and fintech can help the financial industry combat fraud more efficiently.

Internet fraud has been growing. From credit card fraud and fake users to ad fraud. Does your business need to invest in fraud detection and prevention?

While working in the financial and government spaces, we saw a need across industries for enhanced entity screening processes that use AI and machine learning.

SIP trunking fraud is prevalent and flies below many individuals’ and businesses’ radars. In this article we show you how it works and how to prevent it.

E-commerce fraud has been a problem websites have been facing for more than a decade. See how Merchant Network can help to fight fraud globally.

In this article, you will find the common types of financial fraud and how artificial intelligence is transforming fraud detection in financial services.

Just as your average cyberattack has grown more sophisticated, so have the avenues for fraud. To keep up with these threats, we can use AI for better detection.

Artificial intelligence (AI) is transforming the world of finance by allowing financial institutions to make more accurate and data-driven decisions.

The first of a new wave of generative AI-powered scams has arrived on Facebook: images for products that do not exist.

IP-Geolocation rhymes with fraud prevention - perfectly.

Learn why fraud prevention & cybersecurity matter, the role of a fraud specialist, challenges for business analysts transitioning, and need for SQL skills.

The Tel Aviv-based company Memcyco has completed a $10 million seed round that will help to prevent website impersonation.

Discover how advanced AI techniques are revolutionizing fraud detection and learn about key AI strategies, case studies, and steps to implement AI

Explore open banking's role in combating APP fraud in fintech through secure data sharing, real-time monitoring, and strong authentication.

Sumsub's engineers reveal that most state-of-the-art deepfake detectors falter in real-world scenarios and are vulnerable to even basic fraudster tactics.

Explore how combining supervised machine learning and anomaly detection can improve fraud prediction.

Market disruptors pave the way for innovation and break barriers once considered bulletproof. PuppyGraph uses market disruption and graph data to detect fraud.

Explore how Sreenivasarao Amirineni leverages machine learning to enhance efficiency in the insurance sector, driving innovation and significant cost savings.