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Noma Security vs Operant AI: Pricing and Ratings Compared (2026)

Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Noma Security and Operant AI side by side. This page compares data; it is not a hands-on review.

On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison

Short on time? Here's the quick answer

Based on published vendor pricing and features and on public review data, here's who should pick what:

Noma Security

Secure AI systems and agents from discovery to runtime

Best for you if:

  • • You want provides comprehensive security specifically designed for AI and autonomous agents, addressing unique attack vectors

Operant AI

Secure AI and agentic workloads in real-time

Best for you if:

  • • You want offers comprehensive security across all AI surfaces, including endpoints, agents, MCPs, and AI applications
At a glance: Noma Security vs Operant AI
At a Glance
Noma Security Noma Security
Operant AI Operant AI
Starts at
Not published
Not published
Category
Security AI Assistants
AI Agents AI & Automation
Rating
n/a n/a
Free plan
No No

Choose Noma Security or Operant AI?

Noma Security

Choose Noma Security if

  • You want provides comprehensive security specifically designed for AI and autonomous agents, addressing unique attack vectors
  • You want offers deep visibility into the entire AI landscape, including dependencies and connections, which traditional tools miss
  • You work in security, not AI agents
Operant AI

Choose Operant AI if

  • You want offers comprehensive security across all AI surfaces, including endpoints, agents, MCPs, and AI applications
  • You want simplifies AI security with a single platform, reducing the need for multiple vendors and integrations
  • You work in AI agents, not security

In-Depth Analysis

Noma Security Noma Security

Secure AI systems and agents from discovery to runtime

Strengths

  • Pro: Provides comprehensive security specifically designed for AI and autonomous agents, addressing unique attack vectors.
  • Pro: Offers deep visibility into the entire AI landscape, including dependencies and connections, which traditional tools miss.
  • Pro: Enables real-time protection and policy enforcement at runtime, preventing threats and ensuring compliance.
  • Pro: Integrates seamlessly into existing security and development workflows, minimizing disruption.

Weaknesses

  • Con: Requires integration into complex AI development and deployment environments.
  • Con: The effectiveness of threat detection relies on continuous updates to keep pace with evolving AI attack techniques.

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

Operant AI Operant AI

Secure AI and agentic workloads in real-time

Strengths

  • Pro: Offers comprehensive security across all AI surfaces, including endpoints, agents, MCPs, and AI applications.
  • Pro: Simplifies AI security with a single platform, reducing the need for multiple vendors and integrations.
  • Pro: Enables rapid deployment and immediate value with zero-instrumentation and cloud-native integration.
  • Pro: Provides robust protection against advanced AI-specific threats like prompt injection and LLM poisoning.
  • Pro: Helps maintain data privacy and compliance through inline sensitive data redaction and obfuscation.

Weaknesses

  • Con: Requires a paid plan, with no free tier available for evaluation.
  • Con: Specific pricing details are not publicly listed and require direct engagement.
  • Con: The breadth of features may be extensive for very small teams with limited AI deployments.

Key features

Endpoint Protector for AI-enabled devices and Shadow AI discovery Agent Protector for cloud-based and homegrown agentic AI systems MCP Gateway for centralized registry, traffic security, and access control for Model Context Protocol servers AI Gatekeeper for LLM gateway with native firewall, multi-provider routing, and request inspection Inline Auto-Redaction and Obfuscation of sensitive data (PII/PCI/PHI) Real-time threat detection and blocking of OWASP LLM Top 10 risks

Key Takeaways

Noma Security

  • Choose if you want secure AI systems and agents from discovery to runtime

Operant AI

  • Choose if you want secure AI and agentic workloads in real-time

What the data shows

On the data below the two are close or not directly comparable, so we do not name a winner for this pair.

    Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate

    Frequently Asked Questions

    How do Noma Security and Operant AI compare in 2026?

    On the data below the two are close or not directly comparable, so we do not name a winner for this pair.

    What are Noma Security and Operant AI used for?

    Noma Security: Secure AI systems and agents from discovery to runtime. Operant AI: Secure AI and agentic workloads in real-time.

    What does Noma Security cost vs Operant AI?

    Noma Security has no public paid-plan price on file. Operant AI has no public paid-plan price on file.

    What's the main difference between Noma Security and Operant AI?

    Noma Security's main strength: provides comprehensive security specifically designed for AI and autonomous agents, addressing unique attack vectors. Operant AI's main strength: offers comprehensive security across all AI surfaces, including endpoints, agents, MCPs, and AI applications.

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