These launches come just days before RSA Conference 2026 (March 23--26, Moscone Center, San Francisco) the world's largest and most influential cybersecurity event, where Votal AI will showcase live ...

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...

, aims to protect the U.S. government from artificial intelligence (AI) systems developed by foreign adversaries. Here is a detailed breakdown of the bill's provisions: Formulation of a Foreign ...

AI is having its moment, reshaping how developers work. While the best AI tools enable faster app development and anomaly detection, they also fuel faster, more sophisticated cyberattacks. The latest ...

Faced with increasingly sophisticated multi-domain attacks slipping through due to alert fatigue, high turnover and outdated tools, security leaders are embracing AI-native security operations centers ...

Ripple is rolling out an AI-driven security strategy for the XRP Ledger that embeds machine learning tools across the entire development lifecycle, from code review to adversarial ...

A U.S. startup is offering $800 for a single eight-hour day of work. The job title is "Professional AI Bully." The requirement: a history of being let down by technology.

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...

The global financial system is facing a structural crisis. In 2025, illicit financial activity surged to an estimated $4.4 ...

Consciousness, and the ways in which it can become impaired after certain brain injuries, are not well understood, making ...

IFAP generates adversarial perturbations using model gradients and then shapes them in the discrete cosine transform (DCT) domain. Unlike existing frequency-aware methods that apply a fixed frequency ...