Fraud

No Peeking Ahead: Time-Aware Graph Fraud Detection

In my last article , I threw out a number of ideas centered around constructing structured graphs, mainly focused on descriptive or unsupervised exploration of information through graph structures. Nevertheless, once we use graph...

Battling next-gen financial fraud 

Synthetic identity fraud now costs banks $6 billion a 12 months, making it the fastest-growing financial crime within the US Criminals are able to take advantage of personal data breaches...

Apple is a classical lawsuit against shareholders for alleged AI fraud.

Apple, who was accused of delaying the launch of the Integrated Siri, was eventually accused of fraud by shareholders. Reuters reported on Wednesday that a bunch lawsuit against Apple was filed by the San Francisco...

How Scammers Use AI in Banking Fraud

AI has empowered fraudsters to sidestep anti-spoofing checks and voice verification, allowing them to supply counterfeit identification and financial documents remarkably quickly. Their methods have develop into increasingly inventive as generative technology evolves. How...

How AI Agents Are Reshaping Security and Fraud Detection within the Business World

Fraud and cybersecurity threats are escalating at an alarming rate. Businesses lose an estimated 5% of their annual revenue to fraud. The digital transformation of economic services, e-commerce, and enterprise security has created recent...

Credit Card Fraud Detection with Different Sampling Techniques

Bank card fraud detection is a plague that every one financial institutions are in danger with. Normally fraud detection could be very difficult because fraudsters are coming up with recent and revolutionary ways of...

The Real Danger of Language Models: AI-Powered Scams

Imagine this: You’re at work, laser-focused on a decent deadline, once you receive a call from what appears to be your mother’s phone number. The voice on the opposite end is unmistakably hers, calm...

Machine Learning in Fraud Detection: A Primer

Balancing automation, accuracy, and customer experience in an ever-evolving adversarial landscapeFraud detection is a cornerstone of contemporary e-commerce, yet it is usually certainly one of the least publicized domains in Machine Learning. That’s for...

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