The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...

A new class of malware that uses AI to commit ad fraud has been discovered, and it can take over your screens without your ...

AtData, a leading innovator in email address intelligence and digital trust solutions, is introducing Gibberish Detection, a new machine learning-driven model in its fraud prevention suite that ...

Money laundering is on the rise, analysts say, as criminals exploit new technologies like artificial intelligence, crypto, ...

Gibberish Detection analyzes the text of an email address to classify the likelihood of randomness or automation using indicators such as pattern anomalies and likely bot behavior. The resulting ...

From agentic underwriting to patent-pending risk models, Piramal Finance, a wholly owned subsidiary of Piramal Enterprises Limited, and a ...

Research from American Banker finds that bankers are still extremely worried about fraud, but hope that raising budgets for ...

Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.