Large language models (LLMs) are rapidly becoming a cornerstone in enterprises, driving digital transformation and boosting productivity. Yet, their adoption raises critical challenges around security, compliance, and data sovereignty.
By 2025, over 90% of organizations will experiment with GenAI use cases, but only 5% will feel truly cyber-ready. LLMs introduce new risk vectors: prompt injections, dataset poisoning, contextual data leaks, and unpredictable behavior.
"Choosing an LLM is no longer just a technical decision—it’s a strategic move that directly impacts the security and resilience of your organization." Pierrick Conord, AI Cybersecurity Director, Sopra Steria
In this rapidly evolving landscape, CIOs and CISOs must adopt a structured approach:
In this white paper, Sopra Steria explores emerging threats, decodes the safest architectures, and shares key recommendations for adopting LLMs in a controlled and sovereign manner.