Secure the AI supply chain from models to agents and MCP servers
Noma scans, governs, and monitors every component in the AI supply chain, including agents, MCPs, skills, models, and tools.
How Noma AI supply chain security works
Model scanning and provenance
Noma scans models from open registries for malicious artifacts, hidden instructions, and known vulnerabilities. Each model is traced to its source: which registry it came from, which application uses it, and which account deployed it. For organizations pulling models from Hugging Face, Noma acts as a security proxy that scans and validates models before they enter your environment.
MCP Security
Every MCP server in your organization is assessed for AI-specific supply chain risks: unpinned versions, excessive tool permissions, low-trust packages, known vulnerabilities, and secrets exposure. Noma flags toxic combinations where risks compound, like a low-health package with unpinned versions connected to production systems.
Skill Security
Skills are the newest layer of the agent supply chain, and public registries already carry malicious ones: hidden instructions in the skill's files, external links that swap in attacker-controlled content after install, credential theft dressed up as a productivity tool. Noma inspects every skill in your environment for issues and shows each one in the agent risk map, next to the agent that runs it and everything that agent can reach.
Access and governance
Define which agents, MCPs, and skills are approved, which require review, and which are blocked. Enforce tool-based or user-based policies that dictate which actions every agent can take. For example, users from different IdP groups may have different levels of access to agent actions using the same MCPs, or certain actions might be denied org-wide.
Map how risks propagate
The Agentic Risk Map connects every supply chain component to the agents that depend on it. When a model or MCP server is flagged, you see immediately which agents are affected, what data they reach, and what the blast radius looks like.
Security that adapts to your environment
Comprehensive coverage
Cover endpoint AI agents, SaaS agents, and homegrown AI from one platform, and ingest data across 80+ connectors to data platforms, EDR, model registries, version control, and more.
Open enforcement
Decouple governance from any single control point and enforce policy through AI gateways, MCP gateways, agent hooks, agent SDKs, and direct APIs, using the infrastructure already in the environment. Security should not force architecture decisions, it should adapt to them.
Multiple deployment options
Support for both on-prem and SaaS deployments ensuring your unique requirements are met so that no model, training data or security events leave your environment.