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, ...
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 ...