Learn how to protect Model Context Protocol (MCP) from quantum-enabled adversarial attacks using automated threat detection and post-quantum security.

Abstract: Unsupervised anomaly detection (UAD) methods typically detect anomalies by learning and reconstructing the normative distribution. However, since anomalies constantly invade and affect their ...

The GlassWorm supply-chain campaign has returned with a new, coordinated attack that targeted hundreds of packages, ...

Overview: Automated Python EDA scripts generate visual reports and dataset summaries quicklyLibraries such as YData Profiling ...

Python libraries for cybersecurity help automate threat detection, network monitoring, and vulnerability analysis. Tools like Scapy, Nmap, and Requests enable penetration testing and network security ...

A closely watched clinical trial in Britain that screened blood for early detection of cancer did not show a reduction in diagnoses at later stages of the disease. By Rebecca Robbins and Gina Kolata A ...

Horror games are one of the best genres on Roblox, but the amount of jumpscares Scary Shawarma Kiosk the Anomaly brings is amazing. The game lets you run a shawarma shop while finding anomalies and ...

On Saturday, tech entrepreneur Siqi Chen released an open source plugin for Anthropic’s Claude Code AI assistant that instructs the AI model to stop writing like an AI model. Called “Humanizer,” the ...

Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...

07.2025: Dinomaly has been integrated in Intel open-edge Anomalib in v2.1.0. Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for ...

Strengthen your agency’s edge by using AI code detection to spot risky AI-generated sections early and protect quality, security, and client trust. Build a repeatable review process by scanning repos, ...