Diagram showing Claude Desktop connected to several AI coding assistants and a github-mcp-server toolset.
coding assistant security

Secure Claude Code, Cursor, and every AI coding assistant in your organization

Developers connect AI coding assistants to MCP servers, APIs, and local file systems, giving them access to proprietary code, credentials, and production infrastructure. Noma discovers every coding assistant and MCP server on employee machines, governs which tools developers can use, and enforces runtime guardrails through native hooks inside the agent. Agentless, with zero developer friction

How Noma AI coding assistants works

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

How Noma covers Claude Cowork
01

Discovery and blast radius

Noma discovers every coding assistant running on employee endpoints through CrowdStrike EDR integration: Claude Code, Cursor, GitHub Copilot, Codex, Windsurf, and the MCP servers and tools each one is connected to.

Table showing Slack, GitHub, Notion, and Google Drive access with user names and permission statuses.
02

MCP governance

Define which MCP servers developers are allowed to connect to. Unapproved servers are flagged or blocked. Approved servers are scanned for supply chain risks like unpinned versions, excessive permissions, and known vulnerabilities. Security gets governance over the developer AI ecosystem without requiring developers to change how they work.

Learn More
Diagram showing Noma Security's runtime protection intercepting a coding assistant's tool calls, allowing safe actions like querying a database and sending email while blocking destructive actions like updating the database and deleting a file.
03

Runtime protection through native hooks

For Claude Code and Cursor, Noma enforces through the agent's native hook mechanism: before and after tool calls, before and after shell commands. Every prompt, tool call, and model output is evaluated before it's processed. Detection covers prompt injection, sensitive data leakage, scope violations, and custom policies. Enforcement ranges from monitoring to real-time blocking.

Learn More
Diagram showing developer input with visible keys and masked output hiding sensitive data with dots.
04

Sensitive data protection

Developers routinely paste code, configuration files, API keys, and internal documentation into AI assistants. Noma detects sensitive data (credentials, PII, PCI, secrets, proprietary code patterns) and can mask it inline before it leaves the developer's environment. A pre-configured coding agent profile ships with PII, PCI, and secrets detection enabled by default.

Learn More

Agentless deployment

No endpoint agent required. Enforcement works through hooks inside the coding assistant itself. Deployment is centralized through Cursor Enterprise or MDM tools (JAMF, Intune), so security teams roll out controls across the entire developer population without relying on individual developers to configure anything.

Central shield with two blue diamonds connecting to six icons representing different AI services or platforms.
BUILT FOR THE ENTERPRISE

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