Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Code Intelligence

The top 10 cybersecurity threats in 2024

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.

ISO/SAE 21434 compliance in 2024: what's new and how to act

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!

Top 8 Cybersecurity Trends for 2024

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!

7 Challenges of Embedded Software Security Testing in 2024

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 Role of Cybersecurity Assurance Levels in ISO 21434

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.

How Self-Learning AI Has Helped CARIAD Build An Automotive Software Powerhouse

CARIAD has been building one unified software platform for all Volkswagen brands to provide them with reliable software and digital best practices. In recent years, CARIAD and the rest of the automotive software sector faced extensive industry regulation and an array of dangerous and costly vulnerabilities. By introducing feedback-based fuzzing, an advanced white-box testing method that uses self-learning AI to uncover deeply hidden bugs and security vulnerabilities, CARIAD was able to find and fix potentially dangerous issues early in the development process.

Top 18 AI Testing Tools in 2024

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.

Breaking the Barrier of Dynamic Testing CI Spark Live Demo

The manual effort required to set up dynamic testing methods such as feedback-based fuzzing, presents a major barrier to adoption to many dev teams. CI Spark obliterates this barrier by automating the most labor-intensive parts of AI-powered white-box testing, which is identifying relevant entry points (e.g., an API that handles user data) and developing tests that are tailored to their structure.