Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder's research team built a new secrets detection method and scanned 5 ...
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 ...
Introducing Nuxt Studio: the ultimate open-source content management solution for Nuxt websites, offering a powerful self-hosted module for complete control over your content. With an intuitive visual ...
In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool. The promise of static application security testing (SAST) has always been the ...
Code agents are AI systems that can generate high-quality code and work smoothly with code interpreters. These capabilities help streamline complex software development workflows, which has led to ...
An aardvark works in an office typing at a desktop PC while happy human workers mill about in the background. Credit: VentureBeat made with ChatGPT Positioned as a scalable defense tool for modern ...
This engineering experience paper details the application of design, development, and performance testing to an automated program repair tool we built that repairs C/C++ code. Static analysis (SA) ...
If there's anything that gives a seasoned application security (AppSec) professional indigestion these days, it's the thought of AI-assisted coding layered on top of an already insecure development ...
ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...
Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...
Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and unable to ...