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Noma Security

Updated Jul 26, 2026
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Discover, govern, and protect AI and agents across your enterprise with Noma's holistic security platform. Continuous discovery, runtime protection, and compliance management.

#ai security#agent security#prompt injection#compliance#runtime protection
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Editor's Verdict

Rating: 4.7/5.0Reviewed by RAGWiki
At Contact us, Noma Security stands out as a powerful solution in the business,developer tools landscape. It is especially well-suited for professionals like Chief Information Security Officer (CISO) and Security Engineer. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid complex setup. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • AI Discovery
  • AI Security Posture Management
  • Runtime Protection
  • Agentic Access Control

In-Depth Review: What is Noma Security?

"

Noma Security is the leading platform for securing AI and agents end-to-end. As AI evolves rapidly, new attack vectors like prompt injection and model poisoning emerge, while organizations lack visibility into their AI landscape. Noma provides continuous discovery of every model, agent, and connection, deep risk assessment, and real-time threat protection. Built as a contextual platform, it integrates seamlessly into existing workflows, enabling security, risk, and development teams to collaborate. With $100M in funding and recognition from industry leaders, Noma empowers enterprises to scale AI with confidence, ensuring compliance and resilience against tomorrow's threats.

Core Features

AI Discovery

Provides full visibility into the AI landscape, including models, agents, MCP servers, and data sources, mapping dependencies to assess risk.

AI Security Posture Management

Identifies risks, defines boundaries, and validates through continuous testing and red teaming for prompt injection, jailbreaks, and data leakage.

Runtime Protection

Monitors and protects AI in real-time, enforcing security, privacy, and compliance policies on every prompt, response, and tool call.

Agentic Access Control

Governs autonomous behavior of AI agents, ensuring proper identity and access controls for every AI application and agent.

Compliance Management

Helps meet evolving AI regulations with specialized governance, ensuring compliance and oversight across the entire AI ecosystem.

Pricing

Enterprise

Contact us
  • Full AI discovery and visibility
  • AI security posture management
  • Runtime protection for AI and agents
  • Agentic access control
  • Compliance management
  • Integration with existing SecOps workflows

Pros and Cons

Pros

  • Holistic CoverageEnd-to-end security and governance for all AI and agents, from discovery to runtime protection.
  • Continuous DiscoveryAutomatically maps the entire AI landscape, including hidden assets and dependencies.
  • Real-Time ProtectionEnforces security policies on every interaction, blocking prompt injection, jailbreaks, and data leakage.
  • Regulatory ComplianceBuilt-in compliance management helps organizations meet evolving AI regulations.
  • Seamless IntegrationIntegrates with existing SecOps processes without disrupting business, risk, or development teams.

Cons

  • Complex SetupMay require significant initial configuration to map all AI assets and define policies.
  • Dependence on Constant UpdatesMust continuously evolve to keep pace with rapidly changing AI threats and regulations.
  • Potential CostPricing is not publicly available and may be high for smaller organizations.
  • Learning CurveTeams may need training to effectively use the platform's advanced features.
  • Limited CustomizationAs a holistic platform, it may offer less flexibility for niche use cases compared to point solutions.

Use Cases & Recommended Professions

Chief Information Security Officer (CISO)→ View Toolkit

Needs to oversee AI security posture, ensure compliance, and protect against emerging AI threats across the enterprise.

Security Engineer→ View Toolkit

Requires tools to continuously monitor and protect AI systems, enforce policies, and respond to incidents.

MLOps Engineer→ View Toolkit

Needs visibility into AI models and pipelines, and automated security controls integrated into CI/CD.

Data Scientist→ View Toolkit

Benefits from knowing their models and data are secure, enabling safe innovation with AI.

Compliance Officer→ View Toolkit

Requires governance and audit trails to meet regulatory requirements for AI usage.

AI Developer→ View Toolkit

Needs to build secure AI applications with built-in guardrails and protection against attacks.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Noma Security were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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