The Challenge
Your engineering teams build agents on AWS Bedrock, Azure AI Foundry, and Databricks. These agents carry the highest blast radius in your organization: customer-facing applications with access to sensitive data, chaining tool calls across production systems.
Secure cloud
agents with Noma
Bring your agents into one inventory
You can't secure agents you haven't found. Noma maintains a continuous inventory of every agent, model, MCP server, and skill.
See each agent's
blast radius
Cloud agents are often high-blast-radius agents with potential to cause massive harm through destructive actions. Noma lets you understand each agent's connections and supply chain risks, so you can stop misconfigurations from becoming risky actions.
Stop risky behavior at runtime
Cloud agents are often triggered by workflows, other agents, or are available to thousands of users. Noma governs every agent action in runtime, with the context to prevent risky ones, even when they seem legitimate.
Red team every agent through its lifecycle
Noma AI Red Team behaves like a real attacker, compounding techniques into multi-turn campaigns that escalate pressure at each turn. Continuously evaluate your cloud agents against sophisticated attacks, to find weaknesses before attackers (or customers) do.
Built to Higher Standards.
FAQs
What are cloud AI agents?
Cloud agents are AI applications engineering teams build on cloud platforms like AWS Bedrock, Azure AI Foundry, and Databricks, or in code with frameworks like LangChain and CrewAI. They typically carry the highest blast radius in the organization.
How does Noma discover cloud agents?
Noma connects through APIs to cloud providers, data platforms, model registries, version control, and notebooks, and builds a continuous inventory of every agent, model, MCP server, and skill.
Can Noma test cloud agents before production?
Yes. Noma AI Red Teaming runs multi-turn adversarial campaigns against your agents and applications before release, and its findings feed directly into runtime detection policies.
How does Noma protect cloud agents at runtime?
Noma AI-DR evaluates each agent action in context: the event, the full session, the identity behind the agent, the data in reach, and baseline behavior over time. Based on policy, it alerts, blocks, masks data, or routes to a human.
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