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 ...
Artificial Intelligence (AI) tools have sped up everything from app development and problem-solving to scientific discoveries and medical research. Yet, at the same time, experts have also warned ...
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 ...
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 ...