CrowdStrike announced on November 4, 2026, at Fal.Con Europe in Barcelona that it will add Agent Insider Threat Detection to ...
An industry-standard, research-oriented Network Intrusion Detection System (NIDS) powered by Self-Supervised Learning (SSL), Deep Autoencoders, Contrastive Encoders (SimCLR), and Tabular Transformers.
IntroductionIn October 2026, a large-scale unauthorized access incident was discovered in the "Onamae.com Desktop Cloud" ...
A cluster-preserving feature selection framework cut intrusion detection features from 78 to 27 on the CICIDS2017 benchmark while Random Forest and XGBoost maintained roughly 99.9 percent accuracy.
A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
AI agents now read, decide, and act on their own, and the attacks against them unfold across many ordinary, permitted steps ...
Human Rights Watch has documented key findings in its investigative feature, A Strategy of Death. Here, we illustrate how the ...
Sunil Kumar Yadav and colleagues reportedly improved intrusion detection accuracy by up to 22.9 percentage points through ...
Introduction"It seems like AI is being used to create fake emails that are hard to distinguish.""I heard there are also ...
The Hacker News is the top cybersecurity news platform, delivering real-time updates, threat intelligence, data breach ...
Update an Azure firewall policy. az network firewall policy intrusion-detection add [--acquire-policy-token] [--add] [--auto-learn-private-ranges --learn-ranges ...
Small and medium-sized businesses (SMBs) have long been at a disadvantage on cybersecurity. State-of-the-art cybersecurity ...
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