Why LLMs are plateauing – and what that means for software security

AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...
Security Boulevard

Hackers Use LLM to Create React2Shell Malware, the Latest Example of AI-Generated Threat

Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine ...

So yeah, I vibe-coded a log colorizer—and I feel good about it

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
GitHub

Streaming Apache Iceberg examples using Apache Spark

AWS Managed Kafka and Apache Kafka, a distributed event streaming platform, has become the de facto standard for building real-time data pipelines. However, ingesting and storing large amounts of ...
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
GitHub

Microsoft Agent Framework Samples

A comprehensive hands-on guide to building intelligent agents using the Microsoft Agent Framework. This repository contains practical examples, tutorials, and code samples that demonstrate how to ...