White-box fuzz testing has proven highly effective in finding critical bugs and vulnerabilities. Tech giants like Google and Microsoft uncover thousands of issues using this method. But why doesn’t every company adopt fuzz testing as part of their testing strategy? The main barrier is the high level of manual effort and the extensive time required to properly set it up and maintain it.

In today's fast-paced software development environment, security can no longer be an afterthought. Product security aims to embed security at every stage of the development lifecycle, and Static Application Security Testing (SAST) plays a crucial role in this process. By scanning source code early in the pipeline, SAST helps developers catch security issues before they reach production.

The market of embedded computing has been growing constantly, and this trend is expected to continue in the near future. Notably, embedded systems are key components for the Internet of Things (IoT) and for Cyber Physical Systems (CPSs). In the embedded software industry, secure software development is critical. This is especially true because embedded software often involves vital industries, such as medical devices or automotive solutions.

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A dynamic analysis tool for mobile apps is platform and language-agnostic, so you can use the same DAST tools for most applications. As they attack the application externally, they detect configuration issues that other application security testing tools may miss.

7 hours. That’s how long, on average, a developer takes to remediate a security issue in their code. Vulnerability detection is improving rapidly and scaling, but remediating security risks is still a tedious, time-consuming process that takes developers away from their core work. And now, with AI-generated code introducing vulnerabilities at greater speed and volume than ever before, remediation is taking even more time.

Buffer overflows are one of the oldest and most dangerous vulnerabilities in software security. A heap buffer overflow was the second most exploited vulnerability in 2023. Over the years, it has enabled countless attacks, often with severe consequences, such as Cloudbleed in 2017. Despite advances in security practices, buffer overflows continue to pose significant risks, especially in software written in low-level languages like C and C++.

Imagine you’re all prepared to roll out your latest feature, and suddenly, right before launch, you discover a security vulnerability concealed in your code. Depending on the severity, developers can spend anywhere from 7 hours to days or even months finding and fixing these vulnerabilities. A critical vulnerability could set your release back by weeks, while a simple fix might take a day.