Secure every homegrown and cloud agent across your organization
Noma discovers every agent across cloud platforms and code repositories, maps what each one can reach, tests them for vulnerabilities before production, governs what they're allowed to do, and monitors their behavior in runtime.
The Challenge
Engineering teams are building AI agents and applications on AWS Bedrock, Azure AI Foundry, Databricks, and in code with frameworks like LangChain and CrewAI. These are the highest-blast-radius AI assets in most enterprises: customer-facing chatbots handling financial data, internal copilots with production database access, claims processing agents, drug research assistants.
Noma Solution
Noma discovers every agent across cloud platforms and code repositories, maps what each one can reach, tests them for vulnerabilities before production, governs what they're allowed to do, and monitors their behavior in real time.
How homegrown agents works
Noma enables organizations to discover, govern, test, and protect AI and agents across the enterprise.
Discovery and posture
You can't secure agents you haven't found. Noma connects through APIs to your cloud providers, data platforms, model registries, version control, and notebooks, building a continuous inventory of every agent, model, MCP server, and skill.
See each agent's blast radius
The agent risk map correlates each agent's connections, permissions, data access, and connected agents. It surfaces toxic combinations, like untrusted input plus sensitive data plus a destructive action, and catches the common mistakes: secrets in agent instructions, excessive agency, unsandboxed agents.
Stop risky behavior in runtime
A tested agent can still drift or be manipulated in runtime. Noma AI-DR evaluates each action in context: the content of the event, the session before it, who the agent acts for, the data in reach, and behavior baselined over time. Based on policy, it alerts, blocks, masks data, or routes to a human.
Detection and response
Monitor the behavior of every agent in production. Noma evaluates the full sequence of agent actions across a session, catching threats that native cloud guardrails miss. Detection rates run 2-3x better than native guardrails in POC benchmarks.
Detection covers prompt injection, data exfiltration, scope violations, and custom rules. Enforcement ranges from alerting to real-time blocking.
Red team every agent before production
Most automated testing tries one technique at a time, so defenses catch each one alone. Noma AI Red Team behaves like a real attacker, compounding techniques into multi-turn campaigns that escalate pressure at each turn. Pre-built scan profiles and compliance presets get campaigns running quickly.
Part of the Noma platform
Homegrown agent security is one piece of a broader agent security and governance program. Noma helps you define your AI constitution centrally, and enforce it everywhere, across endpoint, SaaS, and homegrown agents.
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.
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.
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.
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.
