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Cutting agents off from sensitive systems makes them useless. Context lets you see when legitimate actions combine into dangerous behavior.

One control plane for every risk
Risky behavior, rogue agents, access control and identity, business operations risk. One control plane to cover all the agent trust layers.

Governance that scales with infrastructure
Your AI architecture will keep changing. Policy enforcement has to plug into it, not dictate it.

Coverage for every agent environment
Agents operate across Endpoint, SaaS, Cloud, and don't respect traditional security boundaries.
One platform to secure and control every agent, wherever it runs.
Control agent behavior at runtime
The riskiest actions often look legitimate on their own. Noma weighs each agent action against the full session, who the agent acts for, what data it can reach, and how it normally behaves. Noma can stop destructive actions, steer the agent, alert a human, mask data, or trigger a killswitch.

Decide what every agent is allowed to do
Approve, review, or block every agent, MCP server, and skill. Scope actions by user, team, or tool sensitivity. This is the baseline for what agents are allowed to do. Then, monitor their actions in runtime to catch even when permitted actions become risky.

Secure and govern every agent environment
Agent usage is not limited to the endpoint, SaaS, or Cloud. Agents cross traditional boundaries and execute tasks across platforms. Noma covers every agent environment your teams operate on.

Find AI weaknesses before attackers do
Find agent supply chain risks, mistakes, and misconfigurations before they can be exploited, and use multi-turn attacks to test your AI applications to find weaknesses before attackers or customers do.

Noma named a Market Shaper in the Gartner® Emerging Market Quadrant for AI Application Security, Start-Up Vendors

Built to Higher Standards.


Build AI your way
Noma partners with best-of-breed AI infrastructure, so you don't have to compromise.




