The governance layer for AI agents across the enterprise
Noma provides a single governance layer that spans discovery, access control, and runtime enforcement across every AI surface.
The unified agent control plane
Noma enables organizations to discover, govern, test, and protect AI and agents across the enterprise.
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.
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.
Enforce everywhere
The Noma team believes security shouldn't force architecture decisions, it should adapt to them and support what's best for the business. That's why we use Open Enforcement. Noma integrates 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.
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, we alert, block, mask data, or route the action to a human.
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.
Every AI surface, one governance layer
The same policies, the same enforcement, the same reporting, whether the agent runs on Bedrock, Copilot Studio, or a developer's laptop. Discovery feeds access policies. Access policies feed runtime detection. Everything shares context, so governance is consistent and precise across the entire AI estate.
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.
AI everywhere, secured by Noma
