Noma

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Noma secures every AI model, agent, and tool across your enterprise with real-time protection, deep visibility, and adaptive defenses that stop evolving threats before they disrupt innovation, compliance, or business momentum!
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Last Updated On May 26, 2026
Feedback From Ángel

✅ USE CASES

Modern AI environments move fast, and security teams need visibility that keeps up. This platform helps businesses discover, govern, and protect every AI model, agent, coding assistant, and connected tool across the enterprise. It identifies hidden risks, monitors agent behavior in real time, and blocks threats like prompt injection, jailbreaks, and sensitive data leaks before they become major problems. Teams can also manage compliance, control AI access, and secure workflows without slowing innovation. With deep contextual insights and adaptive protection, organizations gain the confidence to scale AI safely while staying ready for whatever new technology and threats come next.

💡 Notable Features

What sets Noma apart?

🔍 Full AI Discovery

The platform gives clear visibility into your entire AI ecosystem, including models, agents, MCP servers, coding assistants, and connected data sources. It also maps how everything connects together. This makes it much easier to spot hidden risks, weak points, and unmanaged AI activity before problems grow.

🛡️ Real-Time Threat Protection

Noma actively monitors AI activity as it happens and helps stop threats like prompt injection, jailbreaks, and sensitive data leaks. The real-time protection feels fast and practical. It helps security teams react quickly without slowing down AI tools or disrupting normal workflows across the business.

⚙️ AI Governance And Access Control

Managing AI behavior becomes much easier with built-in governance features. Teams can define approved AI tools, control agent permissions, create runtime policies, and manage access across different departments. This adds strong structure to AI environments that can otherwise become messy and difficult to secure.

📊 Deep Contextual Insights

One of the most useful features is the contextual visibility. Instead of only showing alerts, the platform explains relationships between models, tools, agents, and data sources. This helps teams understand how risks spread across systems and prioritize the most important security issues faster.

🚀 Built For Scaling AI

As companies add more AI tools and autonomous agents, security often becomes harder to manage. This platform is designed for growing AI environments and adapts well as complexity increases. It supports innovation while helping teams stay organized, compliant, and protected as AI adoption expands rapidly.

⭐ User Reviews

What do people think about Noma?

📄 Details Table

Noma info, in a nutshell
Release2023
FounderNiv Braun and Alon Tron
Headquarters LocationNew York City
PopularityRaised $100M Series
Employees51-200 employees
Main FeatureAI security posture management with real-time threat protection for AI agents, models, and enterprise AI workflows
Best ForEnterprises, cybersecurity teams, AI-driven businesses, compliance teams etc.
PricingCustom pricing
SupportEmail (privacy@nomasec.com)
API For DevelopersNo
Social Media

❓ Frequently Asked Questions

Noma related questions, answered

🎁 Free Trial & Coupon

Why pay Noma full price, if you can get some for free?
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At this moment, Noma is not offering any promotion or discount code. However, we may help you out. Subscribe to the form below and, if they will release a promo code, you will be the first one to know. 😉

👨‍🎓 Expert's Opinion

what does our expert say about Noma?
What stands out most is how well the platform handles visibility across complex AI environments. Many security tools still treat AI like a normal app stack, but this one clearly focuses on AI-specific risks such as prompt injection, unsafe agent behavior, and data exposure. The monitoring and governance features feel practical instead of overly technical. It is especially useful for companies using multiple AI tools and autonomous agents across teams. One drawback is that smaller businesses may find the platform more advanced than they currently need. Setup and policy tuning can also take time. Still, for serious enterprise AI security, it feels modern, focused, and built for long-term scale.

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