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

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.

Combination of threat analysis and data analysis with machine learning can help security teams turn raw data into cyber threat intelligence.

Personalized Phishing Attacks: Machine learning models can craft compelling phishing emails by analyzing social media profiles and other publicly available information.

A machine learning-powered intrusion detection system (IDS) using network behaviour anomaly detection (NBAD) can deal with similar attempts by tracing any atypical event, such as coordinated access ...

A hacker has tricked some users of the PyTorch machine learning framework into downloading malware, BleepingComputer reported on Sunday. PyTorch is a popular open-source tool for developing ...

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