Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Code Intelligence Wins Prestigious German AI Award at de:hub Pitch Night 2025

At the 6th de:hub Pitch Night, an event celebrating innovation and digital transformation, Code Intelligence was honored with the prestigious German AI Award. This recognition, awarded by a distinguished jury of industry experts and investors, underscores Code Intelligence’s pivotal role in advancing software security through artificial intelligence.

How AI-generated fuzz test uncovered a vulnerability in wolfSSL

We are super excited to announce the discovery of a heap-based use-after-free vulnerability in wolfSSL, identified through a fuzz test automatically generated by an AI Test Agent. This marks another milestone in advancing automated security testing and demonstrates the power of AI-driven tools to improve software reliability and safety.

How to automate fuzz testing: from start to findings

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.

How SAST Enhances Product Security at Egnyte

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.

How to test AUTOSAR applications for security issues and bugs without hardware.

Testing Classic AUTOSAR applications has long been a significant challenge due to the reliance on hardware-in-the-loop (HiL) setups, which are costly, complex, and hard to scale. In this free webinar, Khaled Yakdan explains how a Tier-1 automotive supplier implemented Code Intelligence’s AUTOSAR simulator and enabled Software-in-the-Loop testing. Dr. Khaled Yakdan, Chief Product Officer, of Code Intelligence, also explains how this approach helps catch more critical bugs that can be accessed externally, speeds up security testing, and reduces hardware dependency.

Integrating fuzz testing in the V-model testing process for secure software

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.