Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Artificial intelligence has stormed the enterprise world, and it's not slowing down anytime soon. With thousands of AI-powered applications, from large language models (LLMs) to productivity-boosting copilots, employees are tapping into AI to work smarter and faster. But here’s the rub: while AI can supercharge productivity, it also brings along a Pandora’s box of risks.

The modern automation stack makes it almost trivial to connect enterprise tools: By combining these, you can create an “AI agent” that reads a message in Slack, uses an LLM to classify or summarize it, and then creates a new ticket in YouTrack—all in minutes.

An AI Bill of Materials (AIBOM) addresses this gap. It is a concise, living profile for every AI capability an organization can invoke—models, agents, SaaS features, plug‑ins, and APIs. Kept in a machine‑readable format, it serves as a practical record that can inform runtime decisions in a control plane. An AIBOM summarizes five things about each AI capability: who provides it, what it can do, what data it sees, where it runs, and how it should be treated.