Schlagworte: Secure AI Deployment Strategies, Zero-Trust Architectures for LLMs, RAG and Fine-Tuning Without Boundaries, AI Compliance, AI Model Selection
AI Behind Your Own Walls is the definitive 2025-2026 playbook for transitioning from risky public AI to secure enterprise infrastructure. It argues the "intelligence gap" has closed, with private models like Llama 4 and DeepSeek-V3 now matching GPT-4o, effectively removing the technical need to expose sensitive data to public APIs.
The book provides a rigorous financial and technical framework, demonstrating that for high-volume workloads, on-premise clusters (using NVIDIA H200/B200) offer a Total Cost of Ownership (TCO) significantly lower than cloud options. It details actionable blueprints for two sovereign paths: "True On-Premise" air-gapped systems and "Secure Private Cloud" with Zero Data Retention (ZDR) and customer-managed keys.
Packed with Terraform modules, hardware sizing guides, and compliance checklists (EU AI Act, DORA) , it is an engineering manual for building leak-proof AI fortresses.
Juan Falcon is a senior leader in IT risk, resilience, and cybersecurity governance based in Germany. He has extensive experience building and overseeing frameworks for IT risk management, business continuity, and disaster recovery in complex and regulated, global organizations, working closely with board-level stakeholders, regulators, and cross-functional teams.
Juans work focuses on turning abstract regulation and technical detail into clear operating models, controls, and roadmaps that business leaders can actually use. He is particularly interested in how AI, automation, and data-driven decision-making reshape governance, operating models, and the skills leaders need over the next decade.
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