New LLM lifecycle model prioritizes security over efficiency

A new paper proposes a security-focused lifecycle model for large language model (LLM) systems, addressing the gap in existing frameworks that prioritize operational efficiency over security. The proposed model structures development and operations around security-relevant boundaries, encompassing 32 stages across data, model, distribution, and application layers, supported by LLMOps and governance pillars. Analysis of current regulatory landscapes, including the NIST AI RMF and EU AI Act, reveals that governance evidence is concentrated at deployment stages, while critical decisions are made earlier with less regulatory visibility. AI

IMPACT Proposes a structured approach to LLM security, potentially influencing future development and regulatory compliance for AI systems.

RANK_REASON The cluster contains a single academic paper detailing a new model for LLM systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• EU AI Act
• ISO/IEC 42001
• large language models
• NIST AI RMF

• paper
• safety

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