Cybersecurity roundup: supply chain threats, AI agent risks, browser-cloning malware, mule networks, endpoint bypasses, and ...

AI-assisted software development is exploding in adoption, promising unmatched speed and efficiency. Often called ‘vibe coding’ or sometimes AI-assisted engineering, this practice has really picked up ...

SAN FRANCISCO--(BUSINESS WIRE)--Semgrep, a leading code security company, today announced Semgrep Multimodal, a system that combines AI reasoning with rule-based analysis for detection, triage, and ...

Desloppify gives your AI coding agent the tools to identify, understand, and systematically improve codebase quality. It combines mechanical detection (dead code, duplication, complexity) with ...

There’s no doubt the AI-generated code landscape evolved at an unprecedented rate over the last year. The rise of vibe coding, where developers use large language models (LLMs) to generate functional ...

Claude Code, originally just auto-complete on steroids for IDEs, shows a lot of promise for becoming a major tool in the DFIR/detection engineering/security analyst’s toolbox. Whether it’s Claude Code ...

This repository provides XML code examples that use SAS Event Stream Processing to process real-time streaming data. Project code is written to run in SAS Event Stream Processing Studio. Use these ...

Threat actors are testing malware that incorporates large language models (LLMs) to create malware that can evade detection by security tools. In an analysis published earlier this month, Google's ...

GREAT FALLS — Maria Thom discovered she had breast cancer in May 2024 and is now in remission, sharing her story to encourage others to prioritize regular screenings during Breast Cancer Awareness ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Abstract: This letter presents a practical and energy-efficient approach to real-time fall detection using a lightweight, interpretable machine learning model on a resource-constrained wearable device ...