Blogartikel_kotlin-csaf_Christian_Banse

Faster detection and rectification of security vulnerabilities in software with CSAF

The Common Security Advisory Framework (CSAF) is a machine-readable format for security notices and plays a crucial role in implementing the security requirements of the Cyber Resilience Act (CRA): Security vulnerabilities can be detected and rectified faster by automatically creating and sharing security information. Fraunhofer AISEC has now published the software library »kotlin-csaf«, which implements the CSAF standard in the Kotlin programming language.

What is »kotlin-csaf«?

 

»kotlin-csaf« is an initial version of a software library that allows developers to process security information in the standardized CSAF format. This makes it easier to manage and validate security alerts and recommendations, which ultimately helps to make software more secure. The CSAF standard plays a critical role in cybersecurity by providing automated information to find and eliminate security vulnerabilities.

 

Integration with Dependency-Track: automated security checks, faster responses and more efficient compliance

The next step for Fraunhofer AISEC is to integrate »kotlin-csaf« into the Dependency-Track tool. Dependency-Track is a tool that reviews programs and their dependencies for security vulnerabilities. With the future integration of »kotlin-csaf« into Dependency-Track, companies will be able to

  • carry out automated security checks by processing security alerts and recommendations in a standardized format,

  • ensure faster responses to security incidents, as security information can be automatically created and consumed,

  • achieve more efficient compliance, as the Dependency-Track tool will then be more capable of meeting the requirements of the Cyber Resilience Act and the NIS 2 Directive.

Get involved: your feedback matters

»kotlin-csaf« is still in the early stages of development. Fraunhofer AISEC is continuously working to improve and expand the library. Therefore, we are looking for partners who are interested in working with us. Your input and feedback are crucial to making »kotlin-csaf« an even better cybersecurity tool.

»kotlin-csaf« library on GitHub: https://github.com/csaf-sbom/kotlin-csaf 

Author
Banse_Christian_Fraunhofer_AISEC
Christian Banse

Christian Banse holds a Master of Science in Business Information Systems with a focus on IT security from the University of Regensburg. He has been an employee at Fraunhofer AISEC since 2011. He was responsible for setting up a new type of network and cloud security laboratory, which he is now managing. This laboratory investigates research questions related to networks and IP-based communication. A particular focus is on research into methods for the automated and continuous certification of the IT security of cloud and container applications. Since mid-2018, Christian Banse has also been head of the Service and Application Security department.

Most Popular

Never want to miss a post?

Please submit your e-mail address to be notified about new blog posts.
 
Bitte füllen Sie das Pflichtfeld aus.
Bitte füllen Sie das Pflichtfeld aus.
Bitte füllen Sie das Pflichtfeld aus.

* Mandatory

* Mandatory

By filling out the form you accept our privacy policy.
Twitter Linkedin Youtube Xing

Leave a Reply

Your email address will not be published. Required fields are marked *

Other Articles

Quantum and Classical AI Security: How to Build Robust Models Against Adversarial Attacks

Maximilian Wendlinger 13. December 2024

The rise of quantum machine learning (QML) brings exciting advancements such as higher levels of efficiency or the potential to solve problems intractable for classical computers. Yet how secure are quantum-based AI systems against adversarial attacks compared to classical AI? A study conducted by Fraunhofer AISEC explores this question by analyzing and comparing the robustness of quantum and classical machine learning models under attack. Our findings about adversarial vulnerabilities and robustness in machine learning models form the basis for practical methods to defend against these attacks, which are introduced in this article.

Read More »

Fraunhofer AISEC commissioned by the German Federal Office for Information Security (BSI): New study on the synthesis of cryptographic hardware implementations

Felix Oberhansl 7. November 2024

The study by Fraunhofer AISEC on the security of cryptographic hardware implementations focuses on physical attacks on hardware, such as side-channel attacks and fault attacks, as well as measures to defend against them. These protective mechanisms can potentially be compromised by optimizations in the chip design process. The study shows that protective measures should be integrated into complex design processes and taken into account in hardware design synthesis in order to be resilient to hardware attacks. The findings will help hardware designers to develop robust and secure chips.

Read More »

Faster detection and rectification of security vulnerabilities in software with CSAF

Christian Banse 16. October 2024

The Common Security Advisory Framework (CSAF) is a machine-readable format for security notices and plays a crucial role in implementing the security requirements of the Cyber Resilience Act (CRA): Security vulnerabilities can be detected and rectified faster by automatically creating and sharing security information. Fraunhofer AISEC has now published the software library »kotlin-csaf«, which implements the CSAF standard in the Kotlin programming language.

Read More »

Privacy By Design: Integrating Privacy into the Software Development Life Cycle

Immanuel Kunz 4. June 2024

As data breaches and privacy violations continue to make headlines, it is evident that mere reactive measures are not enough to protect personal data. Therefore, behind every privacy-aware organization lies an established software engineering process that systematically includes privacy engineering activities. Such activities include the selection of privacy-enhancing technologies, the analysis of potential privacy threats, as well as the continuous re-evaluation of privacy risks at runtime.
In this blog post, we give an overview of some of these activities which help your organization to build and operate privacy-friendly software by design. In doing so, we focus on risk-based privacy engineering as the driver for »Privacy by Design«.

Read More »