Minimizing False Positives: Enhancing Security Efficiency

From Alert Fatigue to Precision Defense: How Detection Engineering Transforms SOC Operations

This article examines the crisis of alert fatigue in modern Security Operations Centers (SOCs) and presents detection engineering as the sol

How AI-powered cybersecurity tools are outpacing human teams in vulnerability detection

The article covers the race to adapt cybersecurity in an AI-powered world, focusing on XBOW's autonomous offensive security platform that us

GitHub and Microsoft reduce false positives in secret scanning using context-aware LLM reasoning

GitHub collaborated with Microsoft Security & AI's Agents Offense team to reduce false positives in secret scanning at scale. By using conte

Why Organizations Must Shift from Detection to Trust Infrastructure

When Trusted UI Elements Like 'Report Phishing' Buttons Become Phishing Attack Vectors

This article explores the ironic cybersecurity threat where trusted user-interface elements like "Report Phishing" buttons, "Unsubscribe" li

How AI-Powered Ensemble Models Improve Insider Threat Detection in Cybersecurity

This article discusses how AI-powered ensemble models, combining unsupervised anomaly detection (Isolation Forest) with supervised classific