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Island is the ideal environment for enterprise work, where modern business requirements like enterprise AI, secure access, and data protection are built into the workplace itself — so organizations can finally stop choosing between enabling their workforce and protecting their data.
Developing Enterprise Frontier Safeguards with our customers
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Confronting Data Centers, Deep-Sea Cables, and Colonial Legacies in the South Pacific
As big tech companies appeal to small island countries’ anxieties about being left behind, Emma Quilty considers how efforts to transform islands into digital hubs obscure the power and agency of these places and their people.
Privacy as EU Tech advantage - The LeafPlaza Blog
Online crime loves legal massive data collection, grey systems, and jurisdictional gaps. Privacy-first design can actually reduce crime exposure and build trust in digital services. It is also central to the EU's tech autonomy: build systems aligning with European rights and risk models. Do not rely on foreign platforms or copy outside practices that might go against the EU values and needs.
HUGE — AI Without Giving Up Your Privacy
We're building an Agentic AI Platform running on your Device that lives with YOU, isolated from the cloud, fundamentally reimagining the relationship between humans and artificial intelligence through ownership, privacy, and massive context. In an age of capture and control, HUGE sells independence and sovereignty.
Rethinking security for the age of AI - The Official Microsoft Blog
Editor’s note: Updates with additional details on the model’s crash score. Why security needs a new cyber stack — Introducing Project Perception The physics of cybersecurity are changing. Autonomous systems can now reason, adapt and operate continuously. At the same time, the cost of offense is falling, while the volume, velocity and complexity of what...
Greyhaven — Sovereign AI Systems for Enterprise
Greyhaven builds custom sovereign AI systems: on-premise inference, private data pipelines, and model-agnostic architecture so enterprises maintain full control over their AI.
Agentic AI Governance: Securing Autonomous AI Agents in Enterprise
When AI agents start making decisions, calling tools, and coordinating with other agents without waiting for human approval, the governance playbook most...
Nicholas Vincent | Data Leverage & Public AI
Prof. Nick Vincent is an Assistant Professor in Computing Science at Simon Fraser University. He studies the content ecosystems and data supply chains that fuel
Tinfoil - Private AI
AI that keeps your data private at all times. Fast, powerful, and verifiable, thanks to secure hardware enclaves.
Databricks: Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
From Chile to the Philippines, meet the people pushing back on AI
Individuals and communities are resisting the demands and practices of Big Tech's AI infrastructure — such as data centers and digital labor — due to their environmental and social costs.
Protecting Microsoft at AI speed: How SFI proactively hardens our cloud | Microsoft Security Blog
Learn how Microsoft uses AI to proactively harden its own cloud services through the Secure Future Initiative (SFI).
Rethinking cloud operations with agentic observability - The Official Microsoft Blog
Cloud operations are entering a new era as AI-driven and autonomous agents become a larger part of modern software systems. As software becomes increasingly agentic, the challenge is no longer just managing greater scale and complexity. Operators must also contend with systems that evolve faster, act more autonomously and interact across an expanding network of...
AI Economy Institute - Microsoft Research
The AI Economy Institute (AIEI) is Microsoft’s flagship think tank dedicated to shaping an inclusive, trustworthy AI economy. We building a network of scholars and convening that network with our subject matter experts to explore how artificial intelligence is transforming work, education, and productivity – and making this knowledge base available to policy-makers, educators, and […]
Designing a multi-sided data platform: findings from the International Data Spaces case
The paper presents the findings from a 3-year single-case study conducted in connection with the International Data Spaces (IDS) initiative. The IDS represents a multi-sided platform (MSP) for secure and trusted data exchange, which is governed by an institutionalized alliance of different stakeholder organizations. The paper delivers insights gained during the early stages of the platform’s lifecycle (i.e. the platform design process). More specifically, it provides answers to three research questions, namely how alliance-driven MSPs come into existence and evolve, how different stakeholder groups use certain governance mechanisms during the platform design process, and how this process is influenced by regulatory instruments. By contrasting the case of an alliance-driven MSP with the more common approach of the keystone-driven MSP, the results of the case study suggest that different evolutionary paths can be pursued during the early stages of an MSP’s lifecycle. Furthermore, the IDS initiative considers trust and data sovereignty more relevant regulatory instruments compared to pricing, for example. Finally, the study advances the body of scientific knowledge with regard to data being a boundary resource on MSPs.
A Strategy for Protecting Content from AI
Because that’s the world we live in these days.
