Updates on Artificial Intelligence

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.

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.

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.

Generative AI is revolutionizing business innovation by streamlining processes and driving efficiency. Learn about the four distinct levels of Generative AI integration - exploration, refinement, automation, and optimization - and how they can guide your organization toward AI-enabled transformation. This structured roadmap ensures sustainable adoption, measurable results, and a future-proofed enterprise in the age of complex technologies.

This whitepaper explores the potential of Large Language Models (LLMs) in the development of GenAI-powered chatbots.

Explore how AI-generated meeting minutes save time and boost efficiency in online meetings. By automating transcripts, summarizing key points, and detecting tasks, AI reduces manual effort and improves accuracy. Learn from real-world experiments how this technology helps teams stay aligned, productive, and focused on what matters most.

Whitepaper on Explainable AI: XAI is specifically designed to facilitate transparency, enhance the understandability of AI decisions, and foster trust in AI utilization.

Discover how AI is transforming project management by automating workflows and improving efficiency by 38%. Our analysis reveals significant potential in resource management, planning, and data updating. Learn about three approaches to integrating AI into your company to enhance project quality and decision-making.