AGENT ACCESS CONTROL
Noma Access Control is the governance and enforcement layer for agents, MCP servers, and skills. Define which agents and tools are approved, scope permissions by user identity, and enforce policies at the moment a connection or action is attempted.
Built to Higher Standards.
Govern agent identity & access with Noma
Unified control for agent access
Every agent, MCP server, and skill in your environment gets a clear status: approved, needs review, or blocked. Noma auto-populates the registry from discovery data, and security teams define the rules in one place, scoped by team, role, or individual identity. When someone connects to something new, it's flagged and categorized before any data flows.
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User-based and tool-based policies
Define and enforce which agents can use specific skills and tools within an MCP, based on criteria like runtime context and the human the agent is attributed to.
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Defend from risky behavior
Monitor agent behavior at runtime, even after an agent has access to approved MCP servers and skills, and stop risky actions or rogue agents from making mistakes. Noma matches agent behavior to intent and baseline to find cases where even legitimate actions can combine into dangerous behavior.
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All-surface governance
Enforce policies across MCP, skills, and native tools through the AI infrastructure you already have, such as gateways, EDR, MDM, and agent hooks. No re-architecting for security required.
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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
Customers Love Noma
“With Noma Security deployed across our AI stack, we now have clear visibility into our AI/ML infrastructure, models, and related security risks.”
“With Noma Security deployed across our AI stack, we now have clear visibility into our AI/ML infrastructure, models, and related security risks.”
“Noma gave our security team a single view of every model, agent, and data flow — something we simply did not have before.”
“We moved from guessing about AI risk to measuring it. Rollout took days, not quarters.”
One Platform to Secure AI, Agents, and Whatever’s Next
Surface all AI assets and their risks
Find every agent, model, MCP server, and tool, and surface the risks.
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Surface all AI Assets and their risks
Noma finds every agent, model, MCP server and tool across your cloud, SaaS, and developer environments - often discovering 10 to 100x more agents than teams expect - and surfaces universal risks in your AI estate.
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Surface all AI Assets and their risks
Noma finds every agent, model, MCP server and tool across your cloud, SaaS, and developer environments - often discovering 10 to 100x more agents than teams expect - and surfaces universal risks in your AI estate.
Get a demo
Surface all AI Assets and their risks
Noma finds every agent, model, MCP server and tool across your cloud, SaaS, and developer environments - often discovering 10 to 100x more agents than teams expect - and surfaces universal risks in your AI estate.
Get a demo
Noma is a Market Shaper in Gartner's 2026 Emerging Market Quadrant for AI Application Security
Build AI your way
Noma partners with best-of-breed AI infrastructure, so you don't have to compromise.
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Built to Higher Standards.
FAQs
What is agent access control?
Agent access control is governing and enforcing what each AI agent is allowed to do: which MCP servers, skills, and tools it can use, and which actions it can take. Noma enforces these policies at the moment an agent acts.
Can I set agent policies based on user identity?
Yes. Noma policies can be user-based, keyed to IdP groups and users, or tool-based, keyed to the sensitivity of specific tools. For example, architects may drop tables through the Postgres MCP server while developers may not.
How is Noma different from identity protocols like XAA?
Identity protocols add context about an agent's identity but are far from enterprise-ready authorization, and most agents aren't in the IdP yet. Noma enforces tool-level and action-level policies today, without waiting on a standard.
Does agent access control require an MCP gateway?
No. Noma enforces across MCPs, skills, and native tools through the infrastructure you already run: gateways if you have them, plus agent hooks, EDR, MDM, and direct APIs.
What happens when an agent breaks a policy?
Noma enforces at the moment of the action. Based on policy, the action is blocked, an alert fires, sensitive data is masked, or the action routes to a human for approval, with a full audit trail.
