Secure every agent's identity, access, and actions
Discover the agents your employees are using, define what each one is allowed to do, and stop the ones that break the rules at runtime.
Securing agent identity and access with Noma
Noma enables organizations to discover, govern, test, and protect AI and agents across the enterprise.
See every agent, MCP, and skill
You can't govern agents you don't know about. Noma discovers AI assets continuously across endpoint, SaaS, and homegrown environments and builds the AI Registry: the live record of which agents, MCP servers, and skills are allowed. No endpoint sensor to deploy.
Enforce policies based on tools or users
Noma Agent Access Control Policies are user-based, keyed to IdP groups, or tool-based, keyed to tool sensitivity. We see examples like rules can be org-wide, and no agent may write data to the CRM. Another, like apply narrowly, where architects may drop tables through the Postgres MCP server while developers may not.
Govern without the architecture tax
Most approaches tax your architecture: reroute traffic through a gateway or wait for a standard your stack does not support. Noma's Open Enforcement delivers decisions at every existing agent control point like existing gateways, agent hooks, agent SDKs, direct APIs, EDR or MDM integrations. No re-architecting for security required.
Watch what agents do with the access
What an agent is allowed to do, and what it ends up actually doing can be two different things. With agents, even legitimate actions can combine into dangerous behavior. Noma inspects agent behavior at runtime and detects any drift from agent intent, or from its baseline "normal" behavior.
Agentic risk map
Noma maps every agent to its connections: models, tools, MCP servers, data sources, and downstream agents. You see which agents are overprivileged, which have identity mismatches, and where a single compromised agent could reach across your environment.
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
