What does Noma Security discover?
Models, agents and MCP servers across an organisation, as part of AI agent hardening.
Beam vs NOMA SECURITY
Beam vs Noma Security
Noma Security discovers models, agents and MCP servers across an organisation and hardens AI agents, backed by more than $100M in reported funding. That is an enterprise inventory and hardening problem. Beam answers a local one: what did the coding agent on this machine do, and does this skill or MCP config look risky before you run it.
Beam vs Noma Security, side by side
Details below are drawn from a September 2026 review of the AI agent security market. Some figures are vendor-sourced or analyst estimates, and this is a fast-moving space — check with each vendor before you buy.
| Beam | Noma Security | |
|---|---|---|
| What it is | Local-first activity monitor and pre-run scanner for AI coding agents. Early prototype. | Enterprise AI security platform focused on agent hardening and AI asset discovery. |
| Monitoring | Shell commands, file changes, tool calls, network endpoints and browser actions from harnesses such as Claude Code, Codex and Cursor, normalised into local NDJSON with risk flags and evidence attached. | Discovers models, agents and MCP servers across an organisation and hardens AI agents. |
| Skill / MCP scanning | Yes. SKILL.md files and MCP configurations are scanned before you run them, using 11 heuristic patterns plus an MCP version-pin check. | Discovers MCP servers as part of AI asset discovery. Dedicated skill-file scanning is not covered in our source research. |
| Blocking / enforcement | No. Beam observes and flags. It never allows or denies an action. | Agent hardening is part of the platform. |
| Individual use | Runs locally for one person on one machine. Shared teams, fleet rollout and approvals are not built yet. | None. Enterprise platform sale. |
| Deployment | A local collector plus a local interface. No MDM package, no central console, no SSO, no SOC 2, no SIEM forwarding. | Enterprise deployment. |
| Source / licence | Not open source today. | Commercial, not open source. |
| Pricing | Not published. | Enterprise custom quote, no public price. |
Noma Security in numbers
As reported in our source research. Some figures are estimates.
- Funding
- Reported to have raised more than $100M; some funding figures in this space are estimates
- Discovery
- Models, agents and MCP servers
Where Noma Security does more
- Organisation-wide discovery of models, agents and MCP servers — Beam sees only the machine it runs on.
- Agent hardening rather than observation alone.
- Well funded, with more than $100M reported raised.
Where Beam differs
- Beam is a local tool a single engineer can run without a platform rollout.
- Beam scans an MCP configuration file before you connect it, as a discrete pre-run step.
- Beam keeps its record local, with credentials redacted before persistence.
Beam’s current gaps
- Beam observes and flags. It has no blocking or enforcement, so it cannot stop a destructive command.
- There is no MDM package, central console, SSO or SOC 2 report, so it is not ready for a managed fleet rollout.
- Scanning is heuristic pattern matching. It produces false positives, misses novel phrasing, and is not a guarantee of safety.
- Beam is early and has no published pricing. Every tool on this page is further along in at least one dimension.
Which one fits
If you need to find every model, agent and MCP server across an organisation, that is Noma's problem space and not Beam's. Beam suits a team starting from a single machine and no budget cycle.
FAQ
How much has Noma raised?
More than $100M according to reporting, though funding figures in this market are sometimes estimates.
Can Beam do organisation-wide discovery?
No. Beam runs on one machine and has no central console, fleet inventory or MDM package.
See how Beam works
Beam is an early, local-first prototype. Read what it actually does today before comparing it further.