Ask five teams in an organisation which AI models they run, and five different answers would usually come back. Marketing runs one copilot. Engineering fine tunes another. A vendor’s chatbot plugs straight into the CRM with a model nobody outside that vendor has inspected. Each one is a working part of the business, and still, they usually do not sit in a single list anywhere.
That gap is exactly what AIBOM tools are built to close. An AI Bill of Materials brings the same discipline that SBOM brought to software – applied instead to models, datasets and dependencies. This guide covers what these tools do, why Indian companies need them now and what to check before choosing one.
What are AIBOM tools
They generate and maintain an AI Bill of Materials which is basically a structured inventory of every part inside an AI system. This includes the model itself, its version, the datasets used to train or fine tune it, software dependencies and the infrastructure it runs on.
A standard Software Bill of Materials (SBOM) tracks code libraries and packages. An AIBOM extends this idea to AI specific components, since a model’s behaviour depends on training data and weights as much as on code. Most firms build on existing SBOM tooling and add AI specific fields instead of starting from scratch.
Why AIBOM tools matter for Indian enterprises now
RBI’s draft Guidance on Regulatory Principles for Model Risk Management, 2026 requires every regulated entity – including banks, NBFCs and payment banks – to maintain a board approved model risk management framework. This framework should cover every AI and ML model in use, whether built in-house or sourced from a vendor. Entities remain accountable for vendor models too, so a usable model inventory becomes key to compliance.
SEBI’s Advisory on Emerging Advanced AI Tools for Vulnerability Detection, issued in May 2026, pushes regulated entities toward AI tool inventories and closer tracking of AI based systems used in security operations.
Neither directive names AIBOM directly, but both describe the same underlying need, a current and auditable record of every AI model in production. AIBOM tools are the practical way to produce and maintain that record without manual tracking.
Types of AIBOM tools
These tools generally fall into four categories, each suited to different stages of AI maturity.
- Open-source generators: Tools like the OWASP AIBOM Generator and cdxgen scan models, often ones hosted on Hugging Face, and produce a structured AIBOM automatically.
- Standards-based formats: CycloneDX ML-BOM and the SPDX AI Profile define the fields an AIBOM should contain, so outputs stay inter-operable across tools and vendors.
- Cloud native platforms: Broader cloud security platforms are adding AIBOM generation along with existing asset discovery, useful for firms tracking AI across multiple cloud environments.
- Extended SBOM platforms: Many teams add AI specific fields to their existing SBOM tooling instead of adopting a separate AIBOM system.
What to look for before choosing an AIBOM tool
A few checks help narrow the list of options.
- Coverage of vendor models: The tool should track third party and vendor sourced models, not just models built internally.
- Continuous updates: Static, one-time snapshots can quickly become outdated, since models get retrained and fine-tuned often.
- Regulatory alignment: Look for output formats and fields that map to RBI, SEBI and CERT-In documentation expectations.
- Integration with existing SBOM tooling: A platform that plugs into an existing software supply chain security setup reduces duplicate work.
Conclusion
AI systems are becoming as embedded in enterprise workflows as any other software component, and the visibility gap around them is becoming a compliance gap too. AIBOM tools give security and compliance teams an organised way to track every model and dependency in use, including the ones sourced from vendors.
As RBI and SEBI move toward formal AI governance expectations, a working AI Bill of Materials is a practical starting point. We can help you bring that visibility to your bills of material through our AIBOM solutions – that gives teams one audit ready record for RBI, SEBI and CERT-In requirements. Connect with our experts to know more.
AIBOM Tools FAQs
What is an AIBOM tool?
It generates and maintains a structured inventory of the models, datasets and dependencies inside an AI system, similar to how SBOM tools track software components.
How is an AIBOM different from an SBOM?
An SBOM tracks code libraries and packages. An AIBOM extends this to AI specific elements such as model versions, training data and model weights, since AI behaviour depends on data as much as code.
Do Indian regulators require an AIBOM?
No regulator names AIBOM directly yet. RBI’s draft Model Risk Management guidance and SEBI’s AI advisory both call for model and AI tool inventories, which this tooling category helps maintain.
Can these tools cover third party AI models?
Yes. Many are built specifically to document vendor sourced models, since regulated entities remain accountable for these models under frameworks like RBI’s draft guidance.
