At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
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 ...
Needs: Triage (Functions) potential-bugItems opened using the bug report template, not yet triaged and confirmed as a bugItems opened using the bug report template, not yet triaged and confirmed as a ...
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 ...
February 10, 2025—The way software is expected to perform does not always match the way it runs in production. Before installing software, system owners should assess its risks and impacts on their ...
Endor Labs has collaborated with Aikido Security, Arnica, Amplify, Kodem, Legit, Mobb, and Orca Security to introduce Opengrep, an initiative designed to maintain open access to static code analysis ...
The complexity of modern software systems, coupled with the increasing sophistication of cyber threats, underscores the critical need for robust security measures. Ensuring software integrity is not ...
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 ...
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