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.
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.
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.
Manual processes
Manually cataloging AI models, their provenance, and associated risks across every application and team guarantees blind spots and compliance gaps.
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.
Eliminate blind spots
Automatically discover every Shadow AI component, model, framework, MCP, and RAG pipeline across your stack.
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.
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.