1.0 Vision and Strategic Imperative: From Ivory Tower to Decision Engine In an environment of high volatility, delayed decisions are not mere operational nuisances; they are killers of strategic clarity that corrode momentum from the inside out. The primary inhibitor to organizational agility is not the speed of technology but Read more
L1: Summary Managementsamenvatting De Nederlandse publieke sector bevindt zich op een cruciaal kantelpunt in haar digitale transformatie. De historische benadering van datamanagement gekenmerkt door een rigide scheiding tussen transactionele systemen (OLTP) en analytische rapportageomgevingen (OLAP) is niet langer toereikend voor de complexe eisen van het moderne digitale tijdperk. De gelijktijdige Read more
Samenvatting De integratie van Large Language Models (LLMs) in juridische workflows markeert een fundamentele verschuiving van deterministische, op trefwoorden gebaseerde informatievergaring naar probabilistische, semantische redenering. Deze transitie biedt ongekende mogelijkheden voor het samenvatten van jurisprudentie, het extraheren van rechtsbeginselen en het analyseren van contractuele verplichtingen. Tegelijkertijd introduceert het echter systemische Read more
Executive Summary The year 2025 marks a pivotal moment in the global governance of artificial intelligence (AI). As the technology’s capabilities expand at an exponential rate, the world’s major technological powers—the United States, the European Union, the People’s Republic of China, and the United Kingdom—have solidified distinct and often competing Read more
Executive Summary & Threat Analysis The EchoLeak Vulnerability (CVE-2025-32711) This report provides a comprehensive forensic analysis and architectural redesign in response to the critical zero-click vulnerability designated as CVE-2025-32711, also known as “EchoLeak.” Discovered by security researchers, EchoLeak represents a new class of exploitation targeting enterprise-grade generative AI assistants, such Read more
by Djimit Abstract This article addresses the critical need for a security framework for Large Language Models (LLMs). As LLMs become integral to a vast array of applications, they introduce a novel and complex threat landscape that transcends traditional software vulnerabilities. We present a systematic, multi-disciplinary investigation into LLM security, Read more