# How CISOs Should Prep for Agentic-Ready AI BOMs
Chief Information Security Officers must develop new documentation frameworks to track both the components and execution behaviors of autonomous AI systems, according to emerging best practices in AI bill of materials (BOMs) development.
Traditional software BOMs catalog libraries, dependencies, and third-party components. AI BOMs require an expanded scope. Security leaders now need to document model architectures, training datasets, fine-tuning parameters, and crucially, the runtime behaviors that agentic AI systems exhibit when operating autonomously.
Agentic AI systems differ fundamentally from static models. These systems make independent decisions, execute actions across systems, and adapt behavior based on environmental feedback. A CISO tracking security risk must understand not just what components an AI system contains, but how it behaves when deployed without human intervention at each step.
The documentation challenge involves two layers. Component attributes include the model type, version, data sources, and any third-party services the system integrates with. Execution attributes capture the decisions the system makes, the APIs it calls, the data it accesses, and the thresholds that trigger autonomous actions.
Organizations should map AI BOMs to existing inventory systems and change management processes. When an agentic AI system updates its model weights or expands its autonomous authority, security teams need visibility into those changes. This requires integration with deployment pipelines and model registries.
The stakes are clear. An agentic AI system with incomplete or inaccurate BOM documentation represents a blind spot in the security posture. If the system accesses sensitive databases or makes business decisions without proper oversight, undocumented changes become compliance violations and operational risks simultaneously.
CISOs should begin establishing AI BOM standards now, before agentic systems proliferate across enterprise infrastructure. Teams lacking this documentation framework will struggle to audit, contain, or remediate