Automated AI Bill of Materials (AI-BOM) Management

Gain complete visibility into every AI component powering your applications — from models and frameworks to RAG pipelines, MCPs, and Shadow AI — continuously updated and always audit-ready.

AI-BOM - AI Bom

Challenges

AI development moves fast. Manual inventories can’t keep up.

With teams rapidly adopting third-party models, open source datasets, and AI-powered libraries, maintaining an accurate AI component inventory is nearly impossible without automation.

Accordion_icon

Constant change

New AI models, fine-tuned versions, and training datasets are introduced constantly — making it nearly impossible to track what’s running in production.

Accordion_icon

Manual processes

Manually cataloging AI models, their provenance, and associated risks across every application and team guarantees blind spots and compliance gaps.

Accordion_icon

Incomplete visibility

Vulnerabilities in models, poisoned training data, and unlicensed AI assets can go undetected until it’s too late.

Opportunities

Beyond inventory to active AI risk management

Meeting compliance requirements is a critical first step. The real value is using that visibility to proactively manage risk across your entire AI supply chain.

Checkmark_accordion

Eliminate blind spots

Automatically discover every Shadow AI component, model, framework, MCP, and RAG pipeline across your stack.

Checkmark_accordion

Stay ahead of AI vulnerabilities

Continuously monitor AI components for known vulnerabilities, malicious models, and compromised training data — with up-to-the-minute risk assessments.

Checkmark_accordion

Prioritize real risk

Reachability analysis and runtime context focus remediation on what’s actually exploitable.

The solution

Mend AI

Mend AI delivers complete visibility into every AI component in your software — including Shadow AI, models, frameworks, MCPs, and RAG pipelines. It automatically scans your applications to build a comprehensive, machine-readable inventory in SPDX and CycloneDX formats, so your team always knows what’s running, where it came from, and whether it can be trusted.

AI-BOM - Checkmark AI accordion 1

Component and license identification

AI-BOM - Checkmark AI accordion 1

Continuous coverage

AI-BOM - Checkmark AI accordion 1

Risk prioritization and remediation

AI-BOM - Checkmark AI accordion 1

Model trust and integrity

MTTR

“One of our most indicative KPIs is the amount of time for us to remediate vulnerabilities and also the amount of time developers spend fixing vulnerabilities in our code base, which has reduced significantly. We’re talking about at least 80% reduction in time.”

WTW-Slider-Logo2 1
Andrei Ungureanu, Security Architect
Read case study
WTW Case study image offer
Fast, secure, compliant

“When the product you sell is an application you develop, your teams need to be fast, secure and compliant. These three factors often work in opposite directions. Mend provides the opportunity to align these often competing factors, providing Vonage with an advantage in a very competitive marketplace.”

VONAGE-black
Chris Wallace, Senior Security Architect
Read case study
vonage Case study image
Immediate insights

“The biggest value we get out of Mend is the fast feedback loop, which enables our developers to respond rapidly to any vulnerability or license issues. When a vulnerability or a license is disregarded or blocked, and there is a policy violation, they get the feedback directly.”

SIEMENS logo green
Markus Leutner, DevOps Engineer for Cloud Solutions
Read case study
Case study Siemens

AI moves fast. Your security should too.

Recent resources

AI-BOM - Blog graphic What is an AI BOM

What is an AI Bill of Materials (AI-BOM)?

Learn how to create and automate an AI-BOM.

Read more
AI-BOM - Mend AI AIBoM Featured Image

AI Bill of Materials

Deliver full visibility into AI native and open source components.

Read more
AI-BOM - AI Security Governance Guide Feature Image

AI Security Governance: A Practical Framework for Security and Development Teams

Learn how to build durable AI governance that keeps pace with how your teams work.

Read more