The Cloud Security Alliance’s AI Technology and Risk Working Group has released a new guidance document covering the design of authorization practices for the use of large language models (LLMs).
‘Securing LLM backed systems: essential authorization practices’ addresses key security risks and provides design patterns to ensure safe and efficient use of LLMs in decision-making and data utilization.
Key areas covered by the document include:
- LLM security measures and best practices
- Authorization considerations for the various components of LLM-backed systems
- Security challenges and considerations for LLM-backed systems
- Common architecture design patterns for LLM-backed systems.
