Know what AI is running, and where the real risks are
the Challenge
Most organizations have no clear picture of what AI agents, models, skills and MCP servers are running across their enterprise, who built them, or what they can access.
Noma Solution
Noma AI-SPM (AI Security Posture Management) closes that gap starting with continuous discovery across every environment. It takes it a step deeper by mapping the blast radius of each agent, surfacing the toxic risk combinations that actually matter, and feeding that context into access control and runtime detection, continuously improving the intelligence of the platform.
Find AI Assets. Surface Toxic Combinations. Control Supply Chain Sprawl.
Noma enables organizations to discover, govern, test, and protect AI and agents across the enterprise.
Discover AI Assets
Find every agent, MCP server, toolset, skill, and model, across all agent types: endpoint AI, SaaS, and homegrown. Organizations need AI-SPM because AI adoption is moving faster than security teams can keep up with, creating the need for full visibility and detection.
Find toxic combinations of agent capabilities
Evaluate an agent's compounding risk from its tools, data access, communication channels, triggers, users, and connected agents, based on hundreds of out of the box policies. Understand what AI exists in your environment, what systems they access and what identities can reach your AI tools.
Map to frameworks and standards
Map findings to NIST AI RMF, EU AI Act, ISO 42001, OWASP LLM Top 10, and MITRE ATLAS. Noma monitors regulatory changes so your team stays current without having to chase updates across frameworks. Generate compliance reports with evidence for auditors and board-level reporting.
Control supply chain sprawl
Inspect MCP servers, models, and skills for risk in the agent supply chain, and build a live registry of which AI components are allowed in the organization. Scan, govern and monitor against a model with hidden instructions, an MCP server with modified tool descriptions or an unpinned package that silently pulls a compromised update on every invocation.
Catch misconfigurations and malpractices
Find risky mistakes and misconfiguration in AI agents like excessive agency, unsandboxed agents, secrets in agent instructions, unauthenticated access, and more. These are the most common findings in most environments, bringing visibility to configuration mistakes.
Enrich runtime decisions
Noma AI-SPM feeds posture context into the Runtime Context Engine for more accurate runtime enforcement. It collects identity, ownership and blast radius context building enforcement you can trust.
Use cases
Part of the Noma platform
AI-SPM is the foundation that brings intelligence to the rest of the platform. When discovery knows what an agent connects to and what its risk profile looks like, Access Control policies are more accurately scoped and AI-DR detections become increasingly more confident. Red teaming findings feed back into posture assessments, and posture findings inform what gets tested next. Each product makes the others stronger.
Surface all AI assets and their risks
Noma finds every agent, model, MCP server and tool across your cloud, SaaS, and developer environments - often discovering 10 to 100x more agents than teams expect - and surfaces universal risks in your AI estate.
Set and enforce the rules
Define which agents are approved, what data they can access, and what actions they can take - enforcing policies in real time, before actions are carried out.
Test AI apps & agents continuously
Noma’s agents probe your AI apps and agents for prompt injection, jailbreak, data leakage, and goal drift - using sophisticated multi-turn attacks that uncover agent and model weaknesses.
See and stop threats in context
Every agent action looks normal on its own. The threat only appears in context. Noma monitors the full behavioral chain of every agent session (prompts, tool calls, data access, actions) and detects prompt injection, data exfiltration, and scope violations in real time.
