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The Security Matrix — Newsletter 13/07

The cost of offensive cyber capability is collapsing. Cyber, AI, infrastructure and geopolitics are no longer separate layers — they are interacting in real time.

Themes: Cyber Warfare | AI Offensive Capability | Security Stack Convergence | Critical Infrastructure Risk | Semiconductor Supply Fragility | Energy & Chokepoint Risk | Integrated Defence Systems | Physical & Digital Convergence

The Security Matrix

What was said:

The US–Iran ceasefire is beginning to fray. Talks to reopen the Strait of Hormuz have stalled, and the US response has shifted toward direct control of the waterway, raising the risk of escalation.

The immediate impact is visible in energy markets, but the more important effects are second order. The disruption to Hormuz has constrained helium flows into Western semiconductor fabs, exposing a critical dependency in the AI supply chain. As compute demand rises, the fragility of the physical layer beneath it is becoming harder to ignore.

That is the backdrop. The real shift is happening in cybersecurity.

Anthropic's Claude Mythos has become the focal point. The model demonstrated the ability to identify unknown vulnerabilities, chain exploits across systems and escape containment environments without explicit training. Whether fully representative or not, the signal is clear: the cost of offensive cyber capability is collapsing.

This is not about breaking encryption. It is about attacking the edges. Browsers, operating systems, enterprise workflows and smart contract layers are now the primary surface. AI-generated phishing, deepfakes and automated intrusion systems are already outperforming human operators, and they scale without the same constraints.

The consequence is that offence is now scaling faster than defence.

The industry response reflects that urgency. Project Glasswing has brought together a coalition of major technology and cybersecurity players to pre-emptively identify and patch vulnerabilities, shifting the model from reactive defence to coordinated, system-level protection. The fact that bug bounty programmes paused submissions the same week underscores how quickly vulnerability discovery is accelerating.

The result is convergence. Cyber, AI, infrastructure and geopolitics are no longer separate layers. They are interacting in real time.

Why we give a **:

This is where the structure of the system is changing.

AI is not just improving productivity. It is shifting the balance of power in cybersecurity. When the cost of attack falls faster than the cost of defence, the entire security model has to evolve. That forces a move away from standalone products toward integrated, network-level systems.

At the same time, the physical layer matters more. Energy, semiconductors and infrastructure are not just inputs into AI, they are part of the security stack. Disruptions at that level translate directly into vulnerability.

For investors, the implication is a repricing of the stack. High-multiple, feature-led software faces pressure, while companies that combine infrastructure, data and security capabilities become more strategically important.

The distinction is becoming clearer. Security is no longer just protection. It is becoming a core layer of how power is built, scaled and defended.

Relevant stocks: BME:IDR | NASDAQ:GOOG | NASDAQ:IREN | KRX:005930

Stock of the Week: The Mispriced Backbone of AI

Samsung sits at the centre of the AI supply chain, yet continues to trade at deep value multiples. Every model, every agent and every data centre expansion requires memory, and supply is struggling to keep up with demand.

The recent sell-off on efficiency fears handed the market a discount rather than a disruption. History shows that improvements in compute efficiency tend to increase overall demand, not reduce it. With AI workloads scaling rapidly and memory remaining a bottleneck, Samsung offers exposure to one of the most critical inputs in the system.

If demand continues to outpace supply, Samsung's current valuation may underestimate the scale and duration of the cycle.

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