More than 100 organizations are calling for wider use of AI in cyber defense, urging governments, technology providers and AI developers to expand funding, tools, model access and practical support for under-resourced critical infrastructure operators. more
AI is becoming a gateway to the internet, but thousands of languages remain excluded. Closing the gap requires multilingual infrastructure, representative training data and policies that make linguistic inclusion a foundation of the AI era. more
The push for open-weight AI promises broader access and competition, but true openness requires more than releasing model weights. Compute, infrastructure, training data, security, and control ultimately determine who can meaningfully benefit from open AI. more
Recent AI containment failures expose a governance gap: harmful model behavior is often visible at the network boundary but poorly monitored. Adapting proven internet protocols could give governments and companies practical tools to enforce accountability. more
Governments, corporations and Indian Tribes increasingly want to keep their data out of Big Tech's hands. The push for data sovereignty could reshape cloud computing, favoring private AI systems over sprawling, centralized data centers. more
As AI reshapes cybersecurity, attackers are exploiting a fundamental weakness in large language models. Phantom squatting turns hallucinated domain names into trusted attack vectors, creating a new class of DNS abuse that defenders cannot solve by eliminating hallucinations alone. more
The battle over open-source AI echoes England's Enclosure Movement, pitting collaboration against proprietary control as technology firms compete to shape innovation, economic power and the future governance of the digital commons. more
As AI agents begin collaborating across the open internet, the absence of trusted identity, authorization, and accountability frameworks threatens interoperability, making cryptographic trust infrastructure essential to building a secure and scalable agentic economy. more
As trillions flow into AI infrastructure, Asia's biggest emerging markets remain underfunded. Beyond power and geopolitics, obscure internet governance, IPv4 allocation, and regulatory ambiguity may be quietly shaping where hyperscale capital chooses to build. more
As AI increasingly relies on digital archives, the quiet revision of ICANNWiki entries raises broader questions about platform accountability, historical integrity, and whether institutions can reshape the records that future researchers and machines will treat as fact. more
Microsoft has unveiled a specialist cybersecurity AI model powering MDASH, claiming higher benchmark performance and lower costs while launching Project Perception, an agentic security platform designed to help defenders counter increasingly automated cyber threats. more
The IGF-DCAD fellowship shows that meaningful inclusion requires more than open access. By funding accessibility, leadership and participation, it offers a practical blueprint for making Internet governance genuinely representative of the one-sixth of humanity living with disabilities. more
A cybersecurity historian argues the EU Cyber Resilience Act overreaches through unworkable mandates, sprawling jurisdiction and outdated assumptions, urging a streamlined successor that embraces AI, existing standards and practical enforcement instead of bureaucratic complexity today. more
AI surveillance systems increasingly classify human differences as algorithmic risk, leaving persons with disabilities vulnerable to exclusion, misclassification, and invisible barriers that threaten decades of progress in accessibility, accountability, and digital inclusion throughout public infrastructure. more
Claims that AI is reshaping internet traffic are gaining attention, but evidence remains mixed as residential ISPs report little change while business networks see steadier demand and faster upstream growth today warrants closer industry scrutiny. more