INVENSITY News & Insights

INVENSITY GmbH has entered a strategic partnership with ALEE to provide integrated homologation, safety, and cybersecurity services for vehicle manufacturers and suppliers. Following successful KBA authorization, the partners now offer a seamless one-stop solution covering testing, assessments, and approval documentation.

AI is transforming cybersecurity at a pace never seen before. While organizations rely on AI to automate protection and detect threats faster, cybercriminals are using the same technology to enhance attacks, bypass defenses, and exploit new vulnerabilities. This article explores how AI simultaneously strengthens and undermines cybersecurity and why this duality has created a new, high-speed arms race.

In the second article of our four-part series on Generative AI integration, we explain how organizations advance from Level 1 (Exploring AI) to Level 2 (Defining GenAI Use Cases). We outline how to set AI criteria, select and define use cases, implement them, and monitor progress.

AI may feel powerful, but it still faces major limitations like hardware and training bottlenecks, unreliable or hallucinated answers, uneven progress between tech companies, and growing legal restrictions around safety and copyright. This article breaks down what today’s language models and generative AI can realistically do and where their boundaries still hold firm.

In this article, we examine the actual significance of a cybersecurity management system audit according to ISO 21434 in the context of the tension between formal documentation and real product risk. While many organizations tend to view audits as mere verification checks, the actual purpose is to assess whether the organization is capable of developing secure and robust products. We show how auditors look beyond the documentation and assess the effectiveness of the cybersecurity processes applied in relation to specific product and process risks.