Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
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Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Noma claims continuous discovery, an enterprise agent and Model Context Protocol (MCP) registry, risk context, accountable ownership, and approved, review, or blocked governance states across AI systems.
Every agent, connected MCP server, and tool surfaces in a dynamic registry with context already attached.
Related framework references (5)
Noma claims agentic red teaming that simulates real-world attacks to identify vulnerabilities in autonomous AI systems before production.
Advanced simulation of real-world agent attacks to identify vulnerabilities in autonomous AI systems before production exploitation.
Related framework references (5)
Noma claims continuous scanning of agent supply chains across tool integrations, Model Context Protocol (MCP) servers, agent frameworks, third-party application programming interfaces (APIs), and model dependencies.
Continuous scanning of agent supply chains for vulnerabilities across toolset integrations, MCP server connections, agent frameworks, third-party APIs, and model dependencies.
Related framework references (5)
Noma claims identity-aware runtime enforcement across Model Context Protocol (MCP) connections, prompts, tool calls, data access, agent actions, model responses, and application programming interface (API) traffic.
Every MCP connection is checked against the registry the moment it’s established.
Related framework references (5)
Noma claims a distinct attributable identity for each autonomous agent, owner and permission context, and policy-based authorization for agents, Model Context Protocol (MCP) servers, and tools.
Noma Agent Access Control gives each autonomous agent a distinct, attributable identity when it connects to MCP servers and tools.
Related framework references (5)
Noma claims discovery, inventory, permission context, access control, and runtime protection for local and coding agents including Claude Code, Cursor, and GitHub Copilot.
Continuous, automatic inventory of every AI agent, MCP server, and tool across local and coding agents.
Related framework references (5)
Noma Security platform materials reviewed did not provide a public product claim for AI usage-cost attribution, token or spend metrics, budgets, chargeback, or cost-aware model routing.
No quoted source text is recorded for this claim.
Related framework references (5)
Noma claims it discovers, governs, and protects enterprise AI and agents across homegrown AI, software as a service (SaaS) agents, and coding assistants.
Noma discovers, governs, and protects AI and Agents across the enterprise, from homegrown AI to SaaS agents and coding assistants.
Related framework references (5)
Noma claims coverage for commercial AI and software as a service (SaaS) agent platforms already embedded in workflows, including major enterprise agent platforms.
Extend coverage to commercial AI and agent platforms already embedded in your workflows. Native integrations with Microsoft Copilot Studio, Salesforce AgentForce, ServiceNow, and 80+ other. Agentless deployment, with no code changes required.
Related framework references (5)
Noma claims runtime privacy policies can prevent sensitive data from leaving the environment during AI usage.
Privacy policies block sensitive data from leaving your environment.
Related framework references (5)
Noma claims it can discover, test, and protect custom AI applications and agents through application programming interfaces (APIs), SDKs, and centralized gateway enforcement.
Discover, test, and protect custom-built AI applications and agents through our REST API, native Python and JavaScript SDKs for frameworks like LangChain and CrewAI, or our centralized gateway for unified policy enforcement.
Related framework references (5)
Noma claims discovery provides visibility and context across models, agents, Model Context Protocol (MCP) servers, data sources, and their dependency chains.
Discovery provides visibility and deep context for your entire AI landscape: every model, every agent, every MCP server, every data source, and crucially, how they all connect.
Related framework references (5)
Noma claims it can monitor AI and agentic communication in real time and enforce runtime policies.
See all AI and agentic communication as it happens and enforce policies at runtime.
Related framework references (5)
Noma claims it supports identity and access controls for AI applications and agents as part of pre-deployment boundaries.
setting proper identity and access controls for every AI application and agent
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
Noma claims runtime policy enforcement for AI and agentic communication.
See all AI and agentic communication as it happens and enforce policies at runtime.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (5)
No public claim found for this capability.
No quoted source text is recorded for this claim.
Related framework references (2)
Noma claims it discovers, governs, and protects AI and agents across enterprise homegrown AI and software as a service (SaaS) agents.
Noma discovers, governs, and protects AI and Agents across the enterprise, from homegrown AI to SaaS agents
Related framework references (5)