The original title is about shadow AI and the inventory problem, suggesting an AI-BOM solution. Let me rewrite this as a punchy headline.

Short summary

Organizations are adopting AI faster than they can track it, creating a sprawling shadow AI attack surface of embedded APIs, copilots, fine-tunes, and agents that traditional asset inventories cannot detect. The article proposes an AI Bill of Materials (AI-BOM) as the foundational unit for cataloging each AI system's models, data, prompts, capabilities, and exposure surface. It outlines a continuous, multi-signal discovery process combining network egress monitoring, code scanning, cloud billing analysis, SaaS audits, and identity enumeration to maintain a living inventory with clear ownership and risk classification.

• •Shadow AI — unsanctioned models, APIs, fine-tunes, and agents — creates an unmapped attack surface traditional inventories miss
• •AI-BOM (AI Bill of Materials) is proposed as a structured manifest capturing model, data, prompt, capability, and surface dimensions per system
• •Continuous discovery via network, code, cloud billing, SaaS admin, and identity signals is needed to maintain a living inventory with assigned owners and risk tiers

Generated with AI, which can make mistakes.