Blue diagonal bar overlays concentric dashed circles with various abstract icons inside white circles.
ENDPOINT AGENTS

Secure every endpoint agent across your organization

Noma discovers every endpoint agent, MCP, skill, and tool in your environment, maps the risks associated with each one, governs what they're allowed to do, and monitors their behavior in runtime. Deployment is agentless and requires no changes to how your teams work.

The Challenge

Employees across your organization are running endpoint agents on their machines: coding assistants like Claude Code, Cursor, and Codex, personal productivity agents, and the growing ecosystem of MCP servers and skills that connect them all to internal systems, cloud services, and sensitive data. These agents accumulate broad permissions, interact with production infrastructure, and chain actions together across sessions.

Noma Solution

Noma discovers every endpoint agent in your organization, like Claude Code, Cursor, and Codex, along with the MCP servers and skills each one uses. It blocks the unauthorized and malicious ones, controls what each agent can read and write, and stops risky behavior like prompt injection and data exfiltration at runtime. Noma enforces the same policy for agents running in remote and cloud sessions.

Securing endpoint agents with Noma

Noma enables organizations to discover, govern, test, and protect AI and agents across the enterprise.

Table listing agents with tools count, risk level, and access status on a blue background.
01

Your endpoint agents don't stay on the endpoint

Claude Code or Cowork sessions go beyond the laptop, and run in Anthropic's cloud where endpoint-only tools can't see them. Noma enforces the same policy across desktop, CLI, and cloud sessions through organization-level agent hooks, gateways, or APIs, aligning to your infrastructure.

Diagram showing Claude Desktop Agent connected to two toolsets: github-mcp-server and atlassian-mcp.
02

Know every agent on every machine

You can't govern agents you haven't found. Noma discovers every agent, MCP server, and skill on employee endpoints through your existing EDR or MDM, with no new endpoint agent to deploy.

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Chat about setting AWS access keys with approved create_access_key allowed and unapproved delete_access_key blocked by Noma.
03

Find the agents running on personal accounts

An agent connected with a personal account trains the vendor's model on company data. Noma detects connected personal-accounts, along with secrets in agent instructions, unsandboxed agents, and excessive agency.

AWS account governance table showing user groups, risks, capabilities, and action buttons for pricing and access keys.
04

Govern agent access and identity

Noma builds a live registry of which agents, MCP servers, and skills are allowed in your organization, and enforces access policies that govern exactly which actions each agent can take. Policies can be keyed to IdP groups and users, or applied organization-wide based on tool sensitivity.

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05

Stop risky behavior at runtime

Permissions say nothing about what an agent is doing right now. Noma's Runtime Context Engine inspects every action across the event, the session, the identity behind the agent, and the data it reaches, with baseline behavior. That context produces accurate decisions when risky behavior happens: alert, block, mask data, or route to a human.

Part of the Noma platform

Endpoint agent security is one piece of a broader AI security program. The agents and MCP servers Noma discovers feed into the Agentic Risk Map, where they're assessed alongside homegrown and SaaS agents. Governance policies share context with runtime detection, so every decision is informed by the complete picture. Red teaming findings proactively stress-test AI apps before production.

AI-SPM

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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ACCESS CONTROL

Set and enforce the rules

Define which agents are approved, what data they can access, and what actions they can take - enforcing policies in real time, before actions are carried out.

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AI RED TEAMING

Test AI apps & agents continuously

Noma’s agents probe your AI apps and agents for prompt injection, jailbreak, data leakage, and goal drift - using sophisticated multi-turn attacks that uncover agent and model weaknesses.

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AI-DR

See and stop threats in context

Every agent action looks normal on its own. The threat only appears in context. Noma monitors the full behavioral chain of every agent session (prompts, tool calls, data access, actions) and detects prompt injection, data exfiltration, and scope violations in real time.

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Extra! Extra!

Read all about the latest from Noma.

Partnerships

Noma Security Is Now a Native Guardrail Across the TrueFoundry Stack

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Nadav Lotan

August 17, 2026

News

What the NVIDIA Open Secure AI Alliance Means for Organizations

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Batya Steinherz

July 28, 2026

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News

Black Hat Will Be Loud About AI: Here Are 5 Signals Worth Listening For

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Diana Kelley

July 28, 2026