Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Code Intelligence

How AI Test Agent autonomously finds bugs

A few weeks ago, we introduced Spark, an AI Test Agent that autonomously uncovers bugs in unknown code with just a single command. Watch the video to see how Spark generated 3 successful fuzz tests, identified a severe vulnerability, and achieved 79% code coverage with just one command. Spark has already identified several real-world vulnerabilities in open-source projects, even those that are continuously fuzzed.

Top Six Most Dangerous Vulnerabilities in C and C++

C and C++ programming are notorious for being bug-prone. Let’s look at the most dangerous software weaknesses in 2024 that are relevant for C and C++, so that you know what type of issues to test your code against in 2025. We examined the 2024 CWE Top 25 Most Dangerous Software Weaknesses list developed by Common Weakness Enumeration (CWE) and identified weaknesses relevant to C/C++. These weaknesses can become vulnerabilities. We explained how they occur and how you can uncover them.

Top Fuzz Testing Tools of 2025: Feature Comparison

In 2025, fuzz testing has become an essential practice for ensuring software security and reliability. By identifying vulnerabilities through randomized input testing, fuzzing helps development teams uncover bugs that traditional testing methods—such as static analysis and penetration testing—often miss. With rapid advancements in security tools, let’s explore the top fuzz testing tools of 2025, their key features, benefits, and how they compare.

Meet Spark, an AI Test Agent That Autonomously Uncovers Vulnerabilities

We’re thrilled to announce the general availability of Spark, an AI Test Agent that lowers the entry barrier to white-box fuzz testing. In this blog, we explain how Spark works and share the main results from its beta testing that prove its effectiveness.

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 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.