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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.

INVENSITY advised Securepoint on its acquisition of SecuLution, a leading provider of application whitelisting solutions, with a technical and product due diligence. The acquisition complements Securepoint's existing network and endpoint security software portfolio.

INVENSITY advised Verdane on its majority investment in Konvekta, a global technology leader in high-performance energy recovery for ventilation and air conditioning systems, with a technical due diligence. The investment will enable Verdane to grow its portfolio and provide Konvekta greater expansion opportunities.

Learn how to optimize your web content for both search engines and AI systems. This article outlines key practices—from structured data and clear hierarchies to performance and relevance—to ensure your pages stay discoverable and engaging in an evolving digital landscape.

INVENSITY GmbH has advised leading B2B content distributor Beat Group on their acquisition of dig dis! with a commercial and technology due diligence. With dig dis!'s focus on the professional requirements of structured music labels, Beat Group is positioned to cover the entire spectrum of independent music distribution.

In this whitepaper, we explore the implications of the EU AI Act for businesses, detailing how organizations can navigate compliance through risk-based AI system classification, employee training, and the implementation of governance structures. Special attention is given to AI literacy as a key enabler - not only for regulatory alignment but also for driving innovation and operational efficiency across the enterprise.

AI is transforming project reporting by cutting down manual effort and enhancing accuracy. Using Microsoft Copilot, teams can automate the extraction of project status, risks, and next steps directly from meeting notes and project plans. Especially in multi-project environments or tight reporting cycles, this approach reduces workload, supports strategic focus, and increases reporting efficiency. Learn how structured data and well-designed prompts enable Copilot to deliver clear, actionable reports in seconds.

As part of the SALSA research project, INVENSITY conducted a TARA following ISO/SAE 21434 to ensure cybersecurity for external Human-Machine Interfaces (eHMI) in autonomous vehicles. By identifying assets, analyzing threats, and prioritizing risks early in development, this approach strengthens both safety in mixed traffic and public trust in automated driving. The analysis highlights how proactive, security-by-design thinking is essential for resilient and socially accepted vehicle technologies.

The SALSA project is revolutionizing road safety by addressing the integration of automated vehicles into mixed traffic. Focusing on safety, user trust, and adaptive communication systems, SALSA develops standardized eHMI solutions and legal frameworks to ensure smooth and secure interactions between all road users. Supported by the German Federal Ministry for Economic Affairs and Climate Protection, the project paves the way for the future of mobility.