Automated AI Bill of Materials (AI-BOM) Management

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

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

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

Build a continuous AI component inventory by automatically discovering every Shadow AI component, model, framework, MCP, and RAG pipeline across your stack.

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

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

“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.”

“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.”

“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.”