Overlapping outages disrupted ChatGPT, Claude and Grok on September 3, but their providers have identified no common cause, leaving unanswered whether the failures were coincidental or reflected an unseen shared dependency. more
AI workloads are exposing the limits of traditional network planning and testing, pushing operators toward better traffic visibility, workload-aware policies and production-like testing before adding capacity to infrastructure they may not fully understand. more
Dangling DNS records can expose trusted corporate subdomains to takeover, while AI-assisted reconnaissance makes abandoned resources easier to find, increasing the need for continuous DNS monitoring rather than periodic audits. more
Researchers argue the EU's AI framework increasingly makes major technology companies co-stewards of regulation, raising concerns that reliance on private infrastructure and technical expertise could strengthen incumbents' influence over how AI rules are implemented. more
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
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
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
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