
As organizations move from experimental large language models (LLMs) to autonomous artificial intelligence (AI) agents, the definition of “safety” is evolving faster than the tools designed to ensure it. In this session, Iñaki Velez de Guevara provides a comparative review of the current AI safety landscape, contrasting the robust infrastructure of major public cloud providers with the “frontier risks” identified in recent academic research. He examines real-world implementations of safety frameworks, analyzes what the industry has solved – and what remains unsolved – and discusses how to maintain human-centric control in sensitive sectors.