Security Boulevard

Automated Threat Detection for Quantum-Enabled Adversarial Attacks on AI Context

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

GlassWorm Attack Uses Stolen GitHub Tokens to Force-Push Malware Into Python Repos

GlassWorm campaign injects malware into GitHub Python repos using stolen tokens since March 8, 2026, exposing developers to ...
InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
InfoQ

Google Open-Sources the Common Expression Language for Python

Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, ...
Scientific Research Publishing

Systemic Vulnerability and Adaptation Traps in The Gambia’s Agricultural Sector under Climate Change ()

The Gambia’s agricultural sector, which is predominantly rain-fed and employs 70% of the labor force, is exceptionally vulnerable to climate change. This study assesses the impacts of projected ...
NetEye Blog

Reflections on Running LLMs Locally: Why It Is Worth Running Them on Your Own Infrastructure

Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...