Cyber Security

Conventional log monitoring solutions rely on manual rule-based analysis, whereas newer AI techniques utilize Natural Language Processing to model log streams and detect normal operating patterns. However, combining the benefits of these dynamic and static monitoring methods can create a powerful automated system capable of identifying anomalous situations and potential security risks without requiring human intervention. In this article we explore the potential benefits of integrating both novel and well-established techniques, in the context of an often conservative domain.

S1/E2: The General Data Protection Regulation of the European Union – It’s good to be a EU citizen

(S1/E1)

Why (and how) everyone and their neighbour in the Software Sector should be aware of European Union legislation

Cybersecurity in the medical device industry is a growing concern as technology continues to advance and devices become more interconnected. While medical devices have brought about significant improvements in patient care and outcomes, they are also vulnerable to cyberattacks, which could have severe consequences for patients and healthcare providers alike. In this article, we will explore some of the major cybersecurity concerns in the medical device sector and discuss some potential solutions to address them.

Self-driving cars, also known as autonomous vehicles (AV), are the future of transportation. They offer convenience, safety, and efficiency to their users. However, as with any technology that is connected to the internet, self-driving cars are vulnerable to cyber-attacks. Cybersecurity is essential for self-driving cars to be safe and reliable. In this post, we will discuss self-driving car cybersecurity and the measures that can be taken to ensure the safety of these vehicles.