Noma Security
Noma Security inventories AI assets and agents, tests them with adversarial scenarios, and monitors agent sessions in production. Its controls address risks such as prompt injection, data leakage, and agents acting outside their intended policies.
The linked official pages do not list plan prices.Is Noma Security right for you?
Good for
- Security teams responsible for discovering, adversarially testing, and enforcing policies across agentic AI deployments and many vendor AI integrations.
- Continuous adversarial testing that probes for prompt injection, jailbreaks, data leakage, and goal drift.
- Runtime monitoring of full agent sessions to detect contextual threats across prompts, tool calls, and actions.
Keep in mind
- Purchase and access appear to require engaging sales or a demo rather than immediate self-serve pricing or sign-up.
- Before deploying controls, test them with your own models, agent tools, and application traffic; confirm coverage of the risks you need to address.
Pricing and plan limits
Noma’s site repeatedly offers ‘Get a demo’ and product descriptions but does not publish discrete plan names or prices in the linked official pages.
More about capabilities and limits
Documented strengths
Continuous adversarial testing that probes for prompt injection, jailbreaks, data leakage, and goal drift.
Runtime monitoring of full agent sessions to detect contextual threats across prompts, tool calls, and actions.
Limitations to consider
Purchase and access appear to require engaging sales or a demo rather than immediate self-serve pricing or sign-up.
Choosing a plan
Schedule a demo and have Noma run discovery and a runtime test against a sample of your live agent integrations to verify it detects the issues you prioritize and to confirm supported integrations and deployment approaches.
Based on the linked product documentation.
Official sources
Alternatives to Noma Security
Choose around the work you need to do.
Cisco AI Defense
Compare Cisco AI Defense for this workflow: enterprises needing network-layer discovery and runtime protection for AI models across multi-cloud environments.