New government says rising threats require faster and more proactive intel services.
Five Eyes cyber security agencies statement | Cyber.gov.au
Our joint Five Eyes statement highlights AI is rapidly increasing cyber risk, urging leaders to act now to strengthen resilience, adopt secure practices, and integrate cyber security into core strategy.
EU-AI | Igor L.
The geopolitical landscape is shifting from physical borders to digital infrastructure. Here is a factual breakdown of how a $500 billion investment in "Sovereign AI" is changing global power dynamics. The Shift: From Land to "Substrate" Historically, a nation’s power was defined by its territory and legal systems (the Westphalian model). Today, power is increasingly tied to the compute substrate—the physical hardware and energy required to run AI. 1. Infrastructural Enclosure The "Sovereign Compute Coalition" (SCC) represents a massive consolidation of power. Major private entities are acquiring the three pillars of modern national strength: * Hardware: High-end AI chips (e.g., Nvidia). * Energy: The massive power grids needed to fuel them. * Data Centers: The physical "brains" of the digital economy. 2. The Rise of Technocracy As private companies own these essential tools, governments may find themselves in a position where they effectively "rent" their ability to govern. This moves decision-making power away from elected officials and toward those who control AI infrastructure. 3. Europe’s Strategic Response Europe is launching several initiatives to avoid becoming a "client state" of foreign tech providers. The strategy focuses on four main channels: * 8ra Initiative: Building a decentralized, multi-provider cloud-edge architecture to ensure data remains under European control and interoperable across borders. * ReArm Europe: A strategic defense package (presented in March 2025) aimed at boosting industrial competitiveness and reducing strategic dependencies in technology and defense. * Sovereign LLMs: Developing domestic models, such as Mistral, that are designed to align with European data privacy standards and cultural values. * Energy & Procurement: Using public procurement and new regulatory frameworks to create demand for homegrown, sustainable energy-efficient compute solutions. The goal of these moves is #DigitalSovereignty : the ability for a region to control its own digital destiny without relying exclusively on transnational monopolies. Data tells the real story. Are you following it? Follow #datanomics
The AI shift in cyber risk: why leaders must act now
Five Eyes cyber security agencies urge organisations to act on rapidly transforming cyber risk.
MI6 chief: Tech giants are closer to running the world than politicians
In first public speech on threats to UK, top spy warns of dangerous power shift amid surge in disinformation
US Law Enforcement Warns of ‘Anti-Tech Extremism’ as AI Hatred Grows
As Americans stew over the looming risk of job-stealing AI and data centers in their back yards, the feds are raising the alarm about a new category of threat, documents obtained by WIRED show.
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.
How Many More Cloud Scares Does Europe Need?
Robin Berjon urges the EU to dismantle the entrenched US monopolies that are undermining the goal of tech sovereignty.
The EU AI Act Is Ready – Interdependent Thoughts
A final draft of the European AI Regulation is circulating (here’s an almost 900 page PDF). The coming days I will read it with curiosity.
Dutch governments builds alternative for Microsoft based on NixOS | Hacker News
1) That there is an agenda, demand and total legal abetment from the top of the power/monetary hierarchy for such corporate policies
Defense at AI speed: Microsoft’s new multi-model agentic security system tops leading industry benchmark | Microsoft Security Blog
Today Microsoft is announcing a major step forward in AI-powered cyber defense: a new multi-model agentic scanning harness (codenamed MDASH).
supercritical | shishyko!
Supercritical is a newsletter about what happens when systems produce faster than they can coordinate. AI is making the generation of knowledge abundant, but generation was never the whole system. Validation, dissemination, credit, trust: these were bundled into institutions designed for scarcity, and this legacy architecture is now the primary bottleneck. If we fail to redesign it, progress will be sawtooth rather than smooth. Using the crisis in modern science as an early warning, this newsletter imagines the capabilities and infrastructure that come next, including provenance, trust-graded disclosure, and new protocols of coordination.
The EU Is Going Through a Trump-Fueled Breakup With Big Tech
France is already moving on from Zoom and Microsoft Teams in favor of homegrown alternatives. Other countries are quickly following suit.
GDPR for AI Systems: 2026 Compliance Guide (with EU AI Act Updates)
How to make AI systems GDPR-compliant in 2026 — the practitioner roadmap covering EU AI Act overlap, EDPB Opinion 28/2024, DPIAs, data minimization, sub-processor cascades, and the technical controls lawyers don't explain.
Safety Co-Option and Compromised National Security: The Self-Fulfilling Prophecy of Weakened AI Risk Thresholds
Risk thresholds provide a measure of the level of risk exposure that a society or individual is willing to withstand, ultimately shaping how we determine the safety of technological systems. Against the backdrop of the Cold War, the first risk analyses, such as those devised for nuclear systems, cemented societally accepted risk thresholds against which safety-critical and defense systems are now evaluated. But today, the appropriate risk tolerances for AI systems have yet to be agreed on by global governing efforts, despite the need for democratic deliberation regarding the acceptable levels of harm to human life. Absent such AI risk thresholds, AI technologists-primarily industry labs, as well as "AI safety" focused organizations-have instead advocated for risk tolerances skewed by a purported AI arms race and speculative "existential" risks, taking over the arbitration of risk determinations with life-or-death consequences, subverting democratic processes. In this paper, we demonstrate how such approaches have allowed AI technologists to engage in "safety revisionism," substituting traditional safety methods and terminology with ill-defined alternatives that vie for the accelerated adoption of military AI uses at the cost of lowered safety and security thresholds. We explore how the current trajectory for AI risk determination and evaluation for foundation model use within national security is poised for a race to the bottom, to the detriment of the US's national security interests. Safety-critical and defense systems must comply with assurance frameworks that are aligned with established risk thresholds, and foundation models are no exception. As such, development of evaluation frameworks for AI-based military systems must preserve the safety and security of US critical and defense infrastructure, and remain in alignment with international humanitarian law.
Autistici/Inventati case sets a new counterterrorism precedent, Irdi says - Decode39
The U.S. decision targeting Autistici/Inventati should not be read simply as another sanction in Washington’s crackdown on violent extremism. According to Beniamino Irdi, senior fellow at the German Marshall Fund and CEO of Highground, the more significant point lies elsewhere: for the first time, the logic of material support is being applied openly and forcefully to technological infrastructure. The target is no longer only those who carry out an act, but also those who provide the infrastructure that makes it possible. It is a choice that sets a delicate precedent for European allies and for the balance between security, intelligence and legal safeguards.
As the Federal Government Rushes Toward AI, Here Are Three Cautionary Tales — ProPublica
We’ve been reporting on cybersecurity for years. As President Donald Trump and his Cabinet say artificial intelligence will transform the nation, the messaging isn’t new. It follows a familiar pattern.
