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Noma Security

An AI and agent security platform for discovery of models, agents, and MCP servers, security posture, red teaming, and runtime protection.

8.0/10
Overall Score
Recommend

Noma Security is worth evaluating for teams that must inventory and control models, agents, and related AI systems.

Best for

Security teams that must inventory and control agents and AI tools across SaaS, cloud, and developer environments.

Not ideal for

Teams that only need model observability or a privacy redaction library.

Verdict

Noma Security is a good fit for security teams that need to discover, assess, and protect an AI estate of models, agents, and MCP servers. Pricing is enterprise security SaaS and aimed at programs with a real inventory to govern. Buyers who will remediate what the platform finds should evaluate it; it is built for AI estate control, not a single chatbot add-on.

Score Breakdown

How Noma Security scores in the categories that matter to its buyers.

Buyer outcomes

AI estate discovery
8.2
Posture and red teaming
8.1
Runtime protection
8.0
Agent and MCP coverage
7.8

Company & commercial

Innovation & product leadership
8.1
Project management & communication
7.6
Pricing
7.9
Contract fairness
8.0

The Field at a Glance

How Noma Security compares with other Security, safety & guardrails vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost HiddenLayer Lasso Security Zenity Lakera Noma Security 8.0
Noma Security HiddenLayer Lasso Security Zenity Lakera

Noma Security scores 8.0 in Security, safety & guardrails, under HiddenLayer (8.1), and ahead of Lasso Security (7.6), Zenity (6.9), and Lakera (6.8). Relative cost lands mid-band for this subcategory.

Compared with …

Use-case matrix

Use caseFitNotes
Inventory of models, agents, and MCP serversStrongThe discovery job.
Red teaming and runtime protectionStrongPublished beside posture.
Model observability onlyWeakA monitoring platform.
Privacy redaction libraryWeakA de-identification buy.

Review Excerpts

Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.

What people like

“Noma helped us, in a systematic way, to detect issues and make them actionable in a way that we had struggled to do on our own.”

Jari Koister, CTO, Kantar · Noma Security · source
How it's used

“With Noma Security seamlessly deployed across our AI stack, we've gained dramatically increased visibility into all of our AI and ML infra, models, and their associated security and compliance risks.”

Scott Roberts, CISO, UiPath · Noma Security · source
What people like

“Runtime guardrails around our agent tools gave security a knob that wasn't 'turn the agent off.'”

sec_eng_ivy · LinkedIn comment · source
What people don't like

“Category is noisy. Hard to tell differentiation in the first two sales calls without a hands-on PoC.”

buyer_tired · Industry forum · source
What people don't like

“We wanted lighter SDK embeds; the deployment model assumed more platform weight than we had.”

ml_plat_small · Reddit · source

Company Facts

Founded
2023 (CB Insights)
Headquarters
New York, New York, United States (CB Insights)
Total funding raised
$132M (CB Insights)
Key investors
SINET16 Innovator, Ballistic Ventures, Glilot Capital Partners, Evolution Equity Partners, Silicon Valley CISO Investments (CB Insights)
Website
noma.security

Key Leadership

Niv Braun

Niv Braun

Co-founder and CEO

Methodology

This page is an independent evaluation of Noma Security for buyers comparing options in security, safety & guardrails. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Noma Security did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.

  • Buyer outcomes (for security, safety & guardrails)
    • AI estate discovery
    • Posture and red teaming
    • Runtime protection
    • Agent and MCP coverage
  • Company & commercial
    • Innovation & product leadership
    • Project management & communication
    • Pricing
    • Contract fairness

Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.

Score Composition

InputWeightWhat it covers
Reviews40%A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%Docs, tutorials, and training material.

How we balanced the evidence

The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.

Scope

Noma Security is graded here as security, safety & guardrails. Criteria scores can move as more review volume and product checks are added.

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