Govern and Secure AI Agents Everywhere They Run
AI adoption is outpacing security across every enterprise. Engineering teams build agents on Bedrock and Azure. Business users create agents on Copilot Studio and AgentForce. Employees connect coding assistants and personal AI agents to hundreds of MCP servers and skills. Noma secures all of it: discovery, posture, access control, adversarial testing, and runtime detection across every environment, from one platform.
Three AI environments. One security gap.
AI agents run in three distinct environments across your organization, each with different architecture, different builders, and different risks.
Endpoint agents
Employees run Claude Code, Cursor, Codex, and personal AI agents on their machines, connecting them to dozens of MCP servers that reach into production code, internal APIs, and sensitive data. There's no approval process and very little visibility into what these agents are doing.
Homegrown AI
Engineering teams build AI applications on AWS Bedrock, Azure AI Foundry, Databricks, and in code with frameworks like LangChain and CrewAI. These carry the highest blast radius: customer-facing apps with access to sensitive data, agents chaining tool calls across production systems.
SaaS agent platforms
Business analysts, sales ops, HR, and finance teams build agents on Microsoft Copilot Studio, Salesforce AgentForce, and ServiceNow, often without telling security.
Why Noma Security?
Noma enables organizations to discover, govern, test, and protect AI and agents across the enterprise.
Every AI surface, no blind spots
Most AI security tools cover one environment, maybe two. Noma covers all three with discovery, posture management, access control, adversarial testing, and runtime detection across each. Customers consistently find 2-5x more AI assets than they expected during initial deployment.
Full behavioral context for detection
Any single agent action can look fine on its own. The threat reveals itself in the sequence: an agent that reads customer records in step one and emails a summary to an external address in step four. Noma tracks the full chain of agent actions across an entire session, which is why detection rates run 2-3x better than native cloud guardrails in POC benchmarks.
One place to manage AI security
Discovery, access control, adversarial testing, and runtime detection all share intelligence and feed into each other. When you discover what an agent connects to, that context makes access policies smarter. When red teaming finds a vulnerability, it becomes an enforced pattern in production. You get a single place to define your AI constitution and know that everything operates according to it.
Four products that share intelligence
Noma enables organizations to discover, govern, test, and protect AI and agents across the enterprise.
AI-SPM (AI security posture management)
Discover every agent, MCP server, skill, and model across endpoint, SaaS, and homegrown agents. The agent risk map shows each agent's blast radius: its connections, permissions, and data access. Noma surfaces misconfigurations and toxic combinations of agent capabilities, and every finding feeds context that makes runtime enforcement more accurate.
Access control
Define what each agent is allowed to do and enforce it the moment the agent acts. Policies govern which MCP servers, skills, and tools an agent can use, keyed to IdP groups or applied organization-wide by tool sensitivity. Noma keeps a live registry of what's approved and blocks everything else.
AI-DR (AI detection and response)
Detect and stop prompt injection, data exfiltration, scope violations, and rogue agents that drift from their intent. AI-DR evaluates every action in context: the session around it, the identity behind the agent, the data involved, and behavior over time. Based on policy, it alerts, blocks, masks data, or routes to a human.
AI red teaming
Test your AI applications before attackers do. Noma AI Red Team behaves like a real attacker, compounding techniques into multi-turn campaigns that escalate pressure at each turn. Prebuilt scan profiles and compliance presets get campaigns running quickly, and every finding feeds AI-DR runtime policies, so testing hardens protection.
Use cases
AI everywhere, secured by Noma
.svg)
.png)
.png)
We love agents, but click to talk to a human.
Noma enables organizations to discover, govern, test, and protect AI and agents across the enterprise.