The AI Security Framework for LLMs & Agents
LLMs and agentic AI are moving into production without a clear, unified security standard. This report introduces a structured framework for securing LLM and agent usage across its full lifecycle.
Download the Full Report
AI Adoption Is Moving Faster Than Security Standards
Organizations deploying LLMs and agentic AI are already making security decisions across models, access paths, and operational usage. These decisions directly shape how data flows, how actions are executed, and how behavior is monitored in production.
Without a unified security standard, those decisions are made in isolation, making it difficult to validate controls or demonstrate accountability as autonomy increases.
Defining Security for LLMs and Agents
Current AI Security Approaches
The report reviews current AI security practices and where gaps emerge as LLMs and agents gain autonomy in production.
Security Standards for LLMs and Agents
The report defines the security standards required for access management and operational usage of LLMs and agents in production.
A Maturity Framework for AI Security
The report introduces a maturity framework for assessing current posture and planning structured, measurable next steps.