The governance layer for AI agents across the enterprise
AI AGENT CONTROL PLANE
Noma provides a single governance layer that spans discovery, access control, and runtime enforcement across every AI surface.
Acme Inc.
Industry Co
Robust AI Security
Security and Governance
AI and Agents
Industry Co
RealBusiness
Acme Inc.
Industry Co
Robust AI Security
Security and Governance
AI and Agents
Industry Co
RealBusiness
The unified agent control plane
Visibility into your full AI estate
Governance starts with knowing what exists. Noma discovers every AI agent, model, skill, MCP server, and tool across cloud platforms (Bedrock, Azure AI Foundry, Databricks), SaaS platforms (Copilot Studio, Agentforce), endpoint agents (Claude Code, Cursor), and code repositories. Each agent is mapped to its connections, permissions, blast radius, and owner.
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Define your AI constitution
Set policies that define how agents operate in your organization. Which agents are approved, which require review, which are blocked. Which tools each agent can use, which actions are permitted for which users, and what kind of risky behavior should be blocked, alerted, or masked at runtime. Define the rules once, and enforce everywhere continuously.
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Enforce everywhere
Security shouldn't force architecture decisions. It should adapt to them and support what's best for the business. That's why Noma uses Open Enforcement, integrating with your existing gateways, agent SDKs, direct APIs, agent hooks, EDR, and MDM to enforce policy across your infrastructure, while you keep the flexibility to change and grow.
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Full context into runtime behavior
Permissions describe what an agent may do, but not what it is doing right now. Noma inspects every agent action at runtime across the event, the full session, the identity behind it, and the data in reach, and compares it to intent and baseline over time. When a policy triggers, Noma alerts, blocks, masks data, or routes the action to a human.
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Compliance reporting
Map your governance posture to NIST AI RMF, EU AI Act, ISO 42001, OWASP, and MITRE ATLAS. Generate evidence for auditors and board-level reporting: what agents exist, what policies govern them, what was tested, and what was detected. Noma monitors regulatory changes so your team stays current across frameworks.
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Every AI surface, one governance layer
Enterprise ready
Comprehensive coverage
Integrations built into 80+ data, AI and MLOps platforms, cloud, no-code and low-code agents, and source code management.
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 your environment.
Multiple deployment options
Support for both on-prem and SaaS deployments, so no model, training data, or security events leave your environment.
Built to Higher Standards.
FAQs
What is an AI agent control plane?
An AI agent control plane is a single governance layer spanning discovery, access control, and runtime enforcement across every environment agents run in. Policies are defined once and enforced everywhere.
What is an AI constitution?
An AI constitution is the authoritative set of rules for how AI and agents can be used in an organization: which agents are approved, what each can access and do, and what behavior gets blocked at runtime. Noma is where you define it and enforce it.
How does Noma enforce the same policy across different environments?
Through Open Enforcement. Noma delivers decisions at every agent control point you already run, whether the agent is on Bedrock behind a gateway, on Copilot Studio through platform APIs, or on a laptop through native hooks.
Can the control plane produce compliance evidence?
Yes. Noma maps governance posture to NIST AI RMF, the EU AI Act, ISO 42001, OWASP, and MITRE ATLAS, and generates evidence: what agents exist, what policies govern them, what was tested, and what was detected.
