Security testing allows you to evaluate the robustness of applications and systems and identify potential weaknesses that attackers may exploit. DAST and fuzzing are two popular, important, and proven security testing methods.

In the domain of software testing and security analysis, fuzzing has emerged as a powerful technique for uncovering vulnerabilities and enhancing the resilience of software systems. Microsoft and Google have been using fuzzing for ages. They were early adopters of fuzzing technologies to test their own systems. Since launching in 2016, Google's OSS-Fuzz, a free fuzzing platform for critical open-source projects, has helped fix over 8,800 vulnerabilities and 28,000 bugs across 850 projects.

In 2023, cyber threats increased and diversified, resulting in increased security challenges for organizations around the globe. Meanwhile, AI greatly increased its presence in the realm of cybersecurity, both negatively and positively. 2024 is going to be a year in which advanced AI tools and complex social engineering tactics will further alter the cybersecurity game. In this article, we will focus on the most important cybersecurity threats in 2024.

Most modern vehicles are equipped with a variety of software systems and resemble sophisticated computers on wheels. The ISO/SAE 21434 standard is a framework that provides recommendations and requirements for secure software development in the automotive industry. But what is ISO 21434 exactly? And what can we expect from automotive software security in 2024? Read on and find out!

In 2023, cyberthreats increased and diversified, resulting in increased security challenges for organizations around the globe. Meanwhile, AI greatly increased its presence in the realm of cybersecurity. It’s time to look ahead and focus on the anticipated cybersecurity threats and trends in 2024. What can we expect from threat actors and security specialists in the upcoming year? Read on and find out!

We live in a world that depends on embedded software. It’s in the cars we drive, the elevators we use and the planes we travel in. As these systems become increasingly complex, the security and functionality of embedded software systems is becoming integral to software development. However, due to the nature of embedded systems, many traditional testing methods fall short of providing adequate security for them.

The automotive industry constantly evolves, particularly in software development. From electronic control units and hardware security modules to advanced driver-assistance systems (ADAS), the complexity and functionality of automotive software have increased exponentially. This has opened new frontiers in efficiency, safety, and user experience but also introduced significant security threats.

The impact of AI tools on software development is starting to make itself felt. As the productivity of developers increases, so does the necessity for software testing. Luckily, AI is also seeing increasing adoption in testing, enabling dev teams to ensure robust and secure software despite increasing output. In this in-depth guide, we will explore the top 18 AI testing tools in 2023 that have the potential to take your testing processes to the next level. Overview.

Finding deeply hidden and unexpected vulnerabilities early in the development process is key. However, time to invest in proactive tests is limited. Prioritizing speed over security is common. Our new AI-assistant CI Spark closes this gap and enables both speed and security. CI Spark makes use of LLMs to automatically identify attack surfaces and to suggest test code. Tests generated by CI Spark work like a unit test that automatically generates thousands of test cases.