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Gain visibility into your AI supply chain with

AIBOM Solutions

Our AIBOM solution helps you identify the models, datasets and dependencies behind your AI systems and build the transparency that CERT-In’s guidelines and emerging AI framework requirements ask for.

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INTRODUCTION

Prepare for AI Supply Chain Transparency with CyberNX's AIBOM Solutions

Strengthen your AI governance posture with CyberNX’s AIBOM solution that gives you an organised inventory of the models, data sources and components that make up your AI systems, and a clear path towards CERT-In alignment and audit readiness.

AIBOM Solutions

Key Features:

Component and Model Visibility

Covers the models, frameworks, libraries and hardware (GPUs, accelerators, servers) that are used to build and deploy an AI system.

Data Origin and Licensing

Documents the origin, sources and licensing of training data, so questions about its origin can be answered with proper evidence.

Regulatory Alignment

Structured around CERT-In’s national guidelines for AI Bill of Materials, with an eye on how SEBI and RBI reference this framework.

Standards-Based Format

Built towards SPDX and CycloneDX formats, keeping your AIBOM compatible with the tools and vendors your firm already works with.

Governance and Risk Readiness

Helps identify risks like bias and data tampering and gives stakeholders a documented basis for AI-related audits and reviews.

PROCESS

How Our AIBOM Advisory Engagement Works

Process involved in AIBOM Advisory Engagement

AIBOM Services for complete AI model, data and dependency visibility.

APPROACH

Why Choose CyberNX's AIBOM Solution?

Our AIBOM solution translates CERT-In’s guidance into a practical governance structure for your AI systems, giving you clear documentation that you can act on.

01

Discovery and Scoping

We work with your teams to identify every AI model, dataset and third-party AI system across development and vendor-supplied systems.

02

Structured Documentation

We list out models, frameworks, training data origins, licensing and hardware dependencies in a format aligned to SPDX or CycloneDX standards.

03

Regulatory Mapping

We map your AIBOM against CERT-In’s recommended AIBOM elements and flag where SEBI, RBI or other sectoral expectations may apply to your sector.

04

Governance Roadmap

We provide a roadmap for maintaining your AIBOM as models are retrained, replaced or expanded, so it stays audit-ready always.

05

Ongoing Support

We remain available to support audit conversations, vendor due diligence and procurement queries as your AIBOM documentation gets put to use.

Testimonials

Customer first Approach is our guiding principle.

We listen, adapt, and deliver solutions that empower your success.

BENEFITS

Our AIBOM services: Structured, Standards-Aligned and Audit-Ready

AI Transparency

Understand exactly what models, data and components make up your AI systems, rather than treating them as opaque assets.

Procurement Readiness

Prepare for AI vendor contracts and public sector procurement processes that increasingly expect AIBOM documentation.

Regulatory Alignment

Build towards CERT-In's Section 9 guidance ahead of it becoming a standard procurement and audit expectation.

Risk Identification

Surface risks tied to bias, data provenance gaps and model dependencies before they surface in an audit or an incident.

Governance Foundation

Establish a maintainable process for keeping AI documentation current as models evolve.

For Customized Plans tailored to Your Needs,
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FAQs

Frequently Asked Questions

01What is an AIBOM?

An AI Bill of Materials is a structured inventory of the components that make up an AI system. That includes models, frameworks, training datasets, hardware dependencies and their origins and licensing details.

02Is AIBOM mandatory in India?

AIBOM is recommended for government, public sector, essential services and AI-developing organisations, and sectoral regulators are increasingly referencing it as a baseline expectation.

03What standards does CyberNX's AIBOM solution align to?

Our AIBOM solution is structured around SPDX and CycloneDX formats, keeping your documents compatible with common AI governance and vulnerability management tooling.

04How is AIBOM different from SBOM?

An SBOM lists out traditional software components and dependencies. An AIBOM extends this to AI-specific elements: models, training data sources, ML frameworks and the hardware used for training and inference.

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