The Challenge
As generative AI revolutionizes the public sector landscape, administrations face unprecedented opportunities alongside significant security, ethical, and compliance challenges. The rapid evolution of large language models (LLMs) demanded an urgent update to existing guidance, particularly in light of the new EU AI Act regulations.
What This V2 Edition Addresses
LLM Security: From Theory to Practice
The integration of AI in administrative processes opens doors to both opportunities and security concerns. This edition comprehensively addresses:
- Prompt injection vulnerabilities and mitigation strategies
- Sensitive information disclosure prevention
- Training data poisoning protection
- Practical security frameworks for LLM deployment
Real-world examples and concrete recommendations ensure innovation doesn't compromise security.
Deployment Strategies: Choose Your Own Adventure
Completely rewritten deployment guidance covering:
- Cloud-first approaches and their implications
- On-premise solutions for sensitive data
- Hybrid architectures balancing flexibility and control
- Data sovereignty considerations for public sector requirements
Each scenario analyzed for advantages, constraints, and implications for public data security.
Ethics, Bias, and EU AI Act Compliance
A dedicated chapter addressing the non-neutrality of AI systems:
- Algorithmic bias identification and mitigation
- EU AI Act analysis and compliance frameworks
- Discrimination prevention in automated decision-making
- Transparency requirements and human oversight mandates
- Practical implementation of ethical AI principles
Key Deliverables
- Comprehensive security framework for LLM integration
- Deployment decision matrix for different public sector contexts
- EU AI Act compliance checklist and implementation roadmap
- Bias detection and mitigation protocols
- Risk assessment methodologies for AI system deployment
- Governance frameworks for responsible AI adoption
Impact & Outcomes
This whitepaper serves as the definitive guide for European public administrations navigating the complex landscape of generative AI adoption. It provides:
- Actionable security protocols protecting public data and systems
- Clear deployment pathways aligned with sovereignty requirements
- Compliance frameworks meeting EU AI Act standards
- Ethical guidelines ensuring fair and transparent AI use
- Strategic roadmaps for sustainable AI transformation
Technical Innovation
The V2 edition introduces several methodological advances:
- Layered security model specifically designed for public sector LLM deployment
- Multi-criteria decision framework for deployment architecture selection
- Bias assessment toolkit with quantitative measurement approaches
- Compliance automation strategies reducing regulatory overhead
- Risk-based governance model scaling with organizational maturity
Strategic Context
Published in partnership with Smile, this whitepaper addresses the urgent need for practical guidance as European administrations accelerate their AI adoption. The timing coincides with the EU AI Act implementation period, providing crucial support during this regulatory transition.
Future Directions
This living document will continue evolving with:
- Industry case studies documenting successful implementations
- Updated threat models as attack vectors evolve
- Advanced governance patterns for multi-agency deployments
- Integration playbooks for existing administrative systems
The whitepaper establishes France and Europe as leaders in responsible AI governance, demonstrating that innovation and integrity are not just compatible—they're essential for building public trust in digital transformation.
