Identity theft is common, but with the rise of AI and machine learning, its effect on the fintech industry has been reduced drastically. Here's how.

Only machine learning can address the increasing number of challenges in cybersecurity: scaling up security solutions, detecting unknown attacks and detecting advanced attacks, including ...

Traditional cybersecurity methods are falling short as cyber threats continue to evolve. Artificial intelligence (AI) and machine learning (ML) are revolutionizing threat detection through ...

Why has machine learning become so vital in cybersecurity? This article answers that and explores several challenges that are inherent when applying machine learning.

AI and ML research and technology provider Quantum Ventura will use BrainChip’s Akida technology to develop cyber threat-detection tools.

Machine learning (ML) and artificial intelligence (AI) are essential components in modern and effective cybersecurity solutions. However, as the use of ML and AI in cybersecurity is increasingly ...

With security experts warning against attacks on machine learning models and data, startup HiddenLayer aims to protect the neural networks powering AI-augmented products.

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...

The dynamic nature of AI-driven ransomware poses significant challenges for detection and defense. Traditional signature-based detection methods are largely ineffective against these adaptive threats.