Cyberattacks are a growing threat, making it crucial for us to understand the tools and techniques available to secure applications. Today, we dive into the differences and similarities between Dynamic Application Security Testing (DAST) and Penetration Testing with insights from a Veracode industry expert and certified penetration tester, Florian Walter. DAST is an automated technique designed to identify security vulnerabilities in web applications and APIs during runtime.

With AI finding adoption throughout all stages of the development process, the SDLC as we know it is becoming a thing of the past. Naturally, this has many implications for the field of software testing. This article will discuss how the SDLC has evolved over time, going into detail on the impact that AI adoption is having on both software development and software testing.

Static and dynamic app testing are cornerstones for any comprehensive AppSec program, yet they rarely rise up to the challenges of fully securing modern software. Discover why secrets are one of their critical blind spots.

As AI integrates into every stage of the SDLC, the area of software testing is undergoing transformative and unprecedented changes. In this article, we will discuss the ethical considerations for AI-powered software testing, examining the advantages and potential hurdles generative AI presents as a new technology being applied across the SDLC.

Static code analysis is widely adopted among organizations for its ability to provide fast feedback loops and identify bugs early in development. However, despite its advantages, numerous bugs and vulnerabilities remain undetected and are only found when they've made their way into production or been caught by late-stage penetration testing. The best security practice involves leveraging both static and dynamic testing, such as fuzz testing.

As vehicles become increasingly reliant on software, secure and functional Hardware Security Modules (HSMs) are paramount. Unknown vulnerabilities in your automotive software can pose a significant threat to your products and business by putting you at risk of coding errors or insecure configurations, which can be exploited by malicious actors or lead to consequential failures.

Application security teams often lack the crucial information and visibility needed to find, prioritize, and remediate risks in their most business-critical applications. To solve this application security challenge, ServiceNow and Snyk have partnered to provide a singular view of the risk within these applications — exposing the severity and criticality of vulnerabilities while providing actionable workflows to boost your overall security posture.

In today's digital and interconnected era, the healthcare sector operates in a landscape of security risks. In 2023 alone, the number of vulnerabilities uncovered in medical devices jumped by 59% to 993 issues. Consequently, the U.S. Food and Drug Administration (FDA), the European Commission, and other governmental agencies have issued cybersecurity guidelines for medical devices. Many of these guidelines advocate for fuzz testing as a means of vulnerability detection.

As application architectures shift to the cloud and the velocity of software delivery accelerates, organizations are seeking more powerful capabilities to identify security vulnerabilities within their production applications. Traditional static application security testing (SAST) tools, by themselves, are insufficient.