Noma Security
Claim this toolSecure AI systems and agents from discovery to runtime
Paid plans only Visit Website Paid Visit Website
Tracked since 2026
The Bottom Line
- Price
- Paid plans only. Compare plans
Key facts
- Discovers and maps all AI assets, including models, agents, and data sources.
- Protects AI systems from novel threats like prompt injection and data leakage in real-time.
- Ensures AI regulatory compliance and integrates with existing security workflows.
Pros
- Provides comprehensive security specifically designed for AI and autonomous agents, addressing unique attack vectors.
- Offers deep visibility into the entire AI landscape, including dependencies and connections, which traditional tools miss.
- Enables real-time protection and policy enforcement at runtime, preventing threats and ensuring compliance.
- Integrates seamlessly into existing security and development workflows, minimizing disruption.
Cons
- Requires integration into complex AI development and deployment environments.
- The effectiveness of threat detection relies on continuous updates to keep pace with evolving AI attack techniques.
What is Noma Security?
Noma Security provides an AI security platform designed to discover, govern, and protect AI systems and agents across the enterprise. It addresses the unique security challenges posed by evolving AI technologies, including attack vectors like prompt injection and model poisoning, as well as blind spots in AI infrastructure and regulatory compliance gaps. The platform offers holistic AI security through continuous discovery, deep contextual insights, AI threat protection, and compliance management across the entire AI ecosystem. It integrates seamlessly into existing SecOps processes and workflows, providing adaptive defenses that evolve with AI advancements. Noma helps organizations secure homegrown AI, SaaS agents, and coding assistants, enabling confident scaling of AI initiatives while mitigating risks. Noma Security is built for organizations adopting AI at scale, offering solutions for AI agent security and AI application security. It provides comprehensive visibility and control over autonomous AI agents, proactively managing risks and enforcing policies at runtime. For AI applications, it secures the entire lifecycle from development to runtime, integrating with CI/CD pipelines and ensuring alignment with leading AI security frameworks.
Key Features
- Continuous AI landscape discovery and dependency mapping
- Real-time AI threat protection (prompt injection, jailbreaks, data leakage)
- AI supply chain risk identification and remediation
- Automated AI red teaming and continuous testing
- AI agent runtime protection and policy enforcement
- Contextual insights into AI models, agents, and data access
- Compliance management for AI regulations (OWASP Top 10, MITRE ATLAS, NIST RMF)
- Integration with existing CI/CD pipelines and DevSecOps workflows
Pricing
Paid
Noma Security offers paid plans. Visit their website for current pricing details.
Noma Security by the numbers
| Metric | Noma Security | Peer median | Position (1 is best) |
|---|---|---|---|
| Free plan | No | 50% have one | n/a |
| Listed as an alternative to | 6 tools | 2 | #167 of 735 (joint) |
Listed as an alternative to: #187 on 2026-10-16 to #167 on 2026-10-31 (rank among 735 tools, 1 is best).
Each position is counted among the tools that have data for that row, as noted under it. All Security data · How we compute this. Advertising and placement fees are not inputs to any position.
Cite this: Toolradar, “Noma Security by the numbers”, Oct 2026.
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Noma Security FAQ
How does Noma Security address the 'blast radius' of autonomous AI agents?
Noma Security introduces the Agentic Risk Map (ARM) which combines discovery, posture management, and runtime protection to visualize and control the potential impact of compromised or misconfigured AI agents. It identifies cascading risk scenarios by analyzing agent connections, tools, identities, and knowledge sources, allowing for interception of dangerous combinations before deployment.
What specific AI-specific attack vectors can Noma Security detect and prevent?
Noma Security is designed to detect and prevent AI-specific attack vectors such as prompt injection, model poisoning, jailbreaks, and sensitive data leakage. It enforces policies at runtime to catch these threats and block unauthorized actions or data exposure.
Can Noma Security integrate with existing DevSecOps processes and CI/CD pipelines?
Yes, Noma Security is built to integrate seamlessly into existing workflows and SecOps processes, including CI/CD pipelines. It provides automated vulnerability detection, remediation guidance, and actionable AI security insights without disrupting business, risk, and development teams.
How does Noma Security ensure compliance with evolving AI regulations?
Noma Security provides specialized governance capabilities to ensure compliance and oversight with evolving AI regulations. It helps align application security with leading AI security frameworks such as OWASP Top 10, MITRE ATLAS, and NIST RMF, enabling the implementation of controls to protect critical AI applications.
What kind of visibility does Noma Security provide into an organization's AI landscape?
Noma Security's discovery feature provides deep context and visibility for the entire AI landscape. This includes identifying every model, agent, MCP server, and data source, and crucially, mapping how they all connect. This comprehensive view is essential for assessing risk and understanding the full dependency chain.
Does Noma Security support both on-premise and SaaS deployments for AI applications?
Yes, Noma Security offers flexible deployment options, supporting both on-premise and SaaS deployments. This ensures that no model, training data, or security events need to leave the customer's environment, while maintaining model and cloud agnostic integrations across the AI stack.
How does Noma Security handle the challenge of 'excessive autonomy' in AI agents?
Noma Security addresses excessive autonomy by monitoring and detecting over-permissive and potentially destructive agent capabilities. It allows organizations to enforce enterprise policies to prevent unauthorized actions and data exposure, thereby controlling unrestricted decision-making and access to sensitive data and systems.
What is the role of 'AI red teaming' within Noma Security's application security solution?
AI red teaming is a core component of Noma Security's application security solution. It involves running continuous dynamic tests across commercial, open-source, fine-tuned, and self-managed AI applications to proactively identify vulnerabilities and weaknesses before deployment and throughout the AI lifecycle.
Source: noma.security