Concept  ·  Glossary

Large Reasoning Model (LRM)

A type of AI model specifically designed to 'think through' problems step by step before giving an answer — producing a visible chain of reasoning rather than responding instantly. Examples include OpenAI's o-series and similar models from other labs. They tend to perform better on complex tasks but take longer and use more computing resources.
LRMs are being rapidly deployed for high-stakes decisions in legal, financial, and scientific domains because they appear more careful and trustworthy; however, their reasoning steps create a new attack surface (chain-of-thought hijacking) that standard models don't expose — meaning greater capability does not automatically mean greater security.
References
NIST AI RMF 1.0
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