Publications

This document serves as a detailed examination of the critical fourth layer in our "Architecture of Trust" framework, a unified defence-in-depth stack developed by the frontier AI community to ensure system safety. By 2026, the primary threat vector in frontier AI has shifted from external prompt injection to Internal Deceptive Alignment. Pillar 4 establishes a multi-layered "White-Box" oversight architecture.

by Didier Vila, PhD – Founder and MD of Alpha Matica. This document serves as a detailed examination of the critical third layer in our "Architecture of Trust" framework, a unified defence-in-depth stack developed by the frontier AI community to ensure system safety. While Pillar 1 focuses on external governance and Pillar 2 on internal robustness, Pillar 3 represents the "steering wheel" of AI behaviour. Its primary function is to align the model’s internal goals with comple

by Didier Vila, PhD – Founder and MD of Alpha Matica. This document serves as a detailed examination of the critical second layer in the four-layer "Architecture of Trust" framework, a unified defence-in-depth stack developed by the frontier AI community to ensure system safety by the end of 2025. If the first pillar (Governance) is the guardrail preventing unsafe models from deployment, the second pillar is the engineering blueprint for internal resilience. This pillar’s pri

by Didier Vila, PhD – Founder and MD of Alpha Matica. In our foundational article The Architecture of Trust: Four Foundational Pillars of Frontier AI Safety, we outlined a defense-in-depth framework for securing frontier AI—models trained on over 10^26 FLOPs that push the boundaries of capability and risk. This series dives deeper into each pillar, starting with the first: Governance & Systemic Safety. As inference speed becomes the primary market differentiator, as one widel

The frontier AI community has converged—not perfectly, but remarkably—on a four-layer defence-in-depth stack designed to prevent catastrophic outcomes from highly capable, potentially deceptive systems. No single lab invented this stack; it has emerged organically from 2023–2025 research at Anthropic, OpenAI, Google DeepMind, Meta AI, Safe Superintelligence (SSI), and several academic consortia.

by Didier Vila, PhD – Founder and MD of Alpha Matica and Alberto Barroso, PhD - Global Head of Decision Science at Tetra Pak* In the rapidly evolving landscape of artificial intelligence, regulations and compliance are no longer optional but very soon mandatory. Building a robust AI risk culture is crucial for navigating the complexities of this new era. This article delves into the importance of such a culture, focusing initially on upcoming EU regulations, the need for inte