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World Congress 2026 Europe • Jul 9, 2026 • Session details

Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing

Isha Salania

How do you deploy generative AI under strict compliance laws? Learn to architect secure, truly sovereign RAG pipelines using confidential computing to protect data in use.

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#1 about 3 min

Requirements for deploying secure AI systems in public sectors

Overcoming sensitive data and compliance constraints requires shifting from promising prototypes to robust production platforms.

#2 about 3 min

Current state of multi-agent systems and token limitations

Decoupling agents and utilizing orchestration layers helps circumvent inherent token limitations in complex data networks.

#3 about 2 min

Accessing frontier models through the Microsoft Foundry platform

Utilizing a centralized platform delivers direct access to thousands of leading open-source and proprietary foundation models.

#4 about 4 min

Mitigating misinformation and economic manipulation at machine scale

The rapid evolution of automated actions necessitates sovereign boundaries to prevent unchecked policy or economic exploits.

#5 about 2 min

Defining digital sovereignty and a four-part solution framework

Ensuring regulatory compliance requires utilizing local execution, secure enclaves, national cloud partnerships, and highly portable application code.

#6 about 5 min

Securing data in use with confidential cloud computing

Trusted execution environments and confidential GPUs isolate sensitive retrieval-augmented generation pipelines from infrastructure provider access constraints.

#7 about 2 min

Partnering with national providers for sovereign private clouds

Deploying models via local data center partners ensures strict structural compliance while retaining crucial auto-scaling cloud benefits.

#8 about 4 min

Running offline artificial intelligence models using Foundry Local

Leveraging an open-source development kit enables offline execution across diverse hardware environments without recurring token expenditures.

#9 about 5 min

Building portable AI applications to survive changing environments

Abstracting agent structures from vendor dependencies streamlines immediate transitions between cloud processing and isolated local hardware.

#10 about 5 min

Architectural checklist for reliable and secure agent deployment

Ensuring resilient production systems involves implementing model gateways, assigning agent identities, integrating open telemetry, and rehearsing failovers.

#11 about 3 min

Recapping the four tiers of AI data sovereignty

Balancing isolation and scalability requires correctly matching workloads against confidential, private, disconnected, or highly portable infrastructure tiers.

#12 about 2 min

Accessing open-source repositories and agent framework development resources

Evaluating provided reference materials unlocks practical engineering frameworks for building independent local fallbacks into existing automation architectures.

Matching moments

2:00 min

Reviewing key architectural decisions for federated AI computing

Jeremy Murray Jeremy Murray · WWC Europe 2026

1:33 min

Designing modular AI architectures for data sovereignty

Markus Hacker Markus Hacker +1 · WWC 2025

2:09 min

Securing AI agents against internal and external threat vectors

Julia Kordick Julia Kordick · WWC Europe 2026

1:40 min

Addressing data sovereignty and compliance blind spots within AI

Sebastian Kister Sebastian Kister · WWC Europe 2026

2:43 min

Best practices for implementing reliable AI agent frameworks

Marcel Scherenberg Marcel Scherenberg · WWC 2025

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann +2 · LIVE

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