Ghana reports approximately 99% DNSSEC validation capability among measured users, yet its .gh domain remains unsigned, exposing a gap between resolver readiness and domain security that calls for coordinated deployment and operational planning.
Growing demand for international bandwidth is accelerating investment in submarine cables and satellite networks, while increasing ownership concentration among major technology companies raises questions about competition, infrastructure resilience and national sovereignty.
Cloud Innovation's reappearance in AFRINIC's Mauritian membership register raises questions about governance, judicial oversight and institutional independence. The author calls for transparent records, scrutiny of conflicts of interest and an orderly end to receivership.
Quad9's planned withdrawal from France over DNS blocking orders highlights the tension between copyright enforcement and Internet security, raising questions about whether infrastructure-level restrictions impose consequences beyond their intended targets.
A Seychelles company controlled by Lu Heng accounts for 10 of Africa's 16 new gTLD applications, linking ICANN's domain expansion to commercial interests and an ongoing dispute over AFRINIC's governance and IPv4 resources.
ICANN's 2026 new gTLD objection process presents applicants and rights holders with four distinct mechanisms for challenging proposed strings, each carrying different legal standards, evidentiary requirements and consequences for delegation.
ICANN's 2026 new gTLD applications reveal a shift toward AI agents, developer infrastructure and digital trust, with .agent replacing .app as the most contested string amid growing competition and persistent geographic disparities.
As AI agents demonstrate increasingly autonomous behavior, Gabriel Accascina proposes a UN-led evaluation system modeled on WHO prequalification, using independent testing and government procurement incentives to strengthen international oversight of frontier AI.
Africa's digital transformation challenge is not a lack of strategies or research, but weak institutional learning that prevents governments from preserving project lessons, applying evidence and avoiding repeated failures across administrations and technology programs.
The danger the White House dismisses at home has justified restricting frontier models abroad. Now, as Trump meets Xi Jinping, competing forces within his administration could determine who writes global AI rules and in what register.