Secure your LLM choice against emerging cyber risks

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 2026, 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:

Assess model control and transparency (proprietary vs. open source)
Secure integration architectures (RAG, APIs, autonomous agents)
Establish ongoing governance over data, prompts, and usage
Anticipate AI and data protection regulatory changes

AI LLM and cybersecurity

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.

Download the report